1
Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics
2
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
3
Autonomous navigation of stratospheric balloons using reinforcement learning
4
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
5
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
6
Underspecification Presents Challenges for Credibility in Modern Machine Learning
7
Evaluating Model Robustness to Dataset Shift
8
Selective Classification Can Magnify Disparities Across Groups
9
Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots
10
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
11
RobustBench: a standardized adversarial robustness benchmark
12
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage
13
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
14
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures
15
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
16
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data
17
Ethical Machine Learning in Health Care
18
AI for radiographic COVID-19 detection selects shortcuts over signal
19
Unsupervised Domain Adaptation For Plant Organ Counting
20
The myth of generalisability in clinical research and machine learning in health care
21
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
22
BREEDS: Benchmarks for Subpopulation Shift
23
Distributionally Robust Losses for Latent Covariate Mixtures
24
Counting Fish and Dolphins in Sonar Images Using Deep Learning
25
AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images
26
On Robustness and Transferability of Convolutional Neural Networks
27
Robustness to Spurious Correlations via Human Annotations
28
Concept Bottleneck Models
29
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift
30
In Search of Lost Domain Generalization
31
Expanded encyclopaedias of DNA elements in the human and mouse genomes
32
Measuring Robustness to Natural Distribution Shifts in Image Classification
33
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
34
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
35
Fully Test-time Adaptation by Entropy Minimization
36
Noise or Signal: The Role of Image Backgrounds in Object Recognition
37
Selective Question Answering under Domain Shift
38
Enforcing Predictive Invariance across Structured Biomedical Domains
39
Sequence and chromatin determinants of transcription factor binding and the establishment of cell type-specific binding patterns.
40
Using publicly available satellite imagery and deep learning to understand economic well-being in Africa
41
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
42
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
43
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
44
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
45
Open Graph Benchmark: Datasets for Machine Learning on Graphs
46
The Effect of Natural Distribution Shift on Question Answering Models
47
Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
48
Shortcut learning in deep neural networks
49
Pretrained Transformers Improve Out-of-Distribution Robustness
50
Learning Agile Robotic Locomotion Skills by Imitating Animals
51
Listening and watching: Do camera traps or acoustic sensors more efficiently detect wild chimpanzees in an open habitat?
52
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions
53
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
54
Scalable learning for bridging the species gap in image-based plant phenotyping
55
Racial disparities in automated speech recognition
56
A Unified View of Label Shift Estimation
57
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information
58
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
59
Learning When and Where to Zoom With Deep Reinforcement Learning
60
Understanding Self-Training for Gradual Domain Adaptation
61
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
62
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
63
CheXclusion: Fairness gaps in deep chest X-ray classifiers
64
The limits of human predictions of recidivism
65
Variational Item Response Theory: Fast, Accurate, and Expressive
66
Machine learning on DNA-encoded libraries: A new paradigm for hit-finding
67
Fairness is not static: deeper understanding of long term fairness via simulation studies
68
Breeder friendly phenotyping.
69
Deep neural networks for automated detection of marine mammal species
70
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
71
International evaluation of an AI system for breast cancer screening
72
Synthetic Datasets for Neural Program Synthesis
73
Common Voice: A Massively-Multilingual Speech Corpus
74
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
75
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
76
Practical considerations for active machine learning in drug discovery.
77
TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks
78
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
79
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance
80
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
81
Domain Generalization via Model-Agnostic Learning of Semantic Features
82
Dissecting racial bias in an algorithm used to manage the health of populations
83
A deep active learning system for species identification and counting in camera trap images
84
Solving Rubik's Cube with a Robot Hand
85
HuggingFace's Transformers: State-of-the-art Natural Language Processing
86
The GTEx Consortium atlas of genetic regulatory effects across human tissues
87
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
88
Deep learning-based classification of mesothelioma improves prediction of patient outcome
89
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
90
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
91
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
92
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
93
Overton: A Data System for Monitoring and Improving Machine-Learned Products
94
Distributionally Robust Language Modeling
95
Fairness warnings and fair-MAML: learning fairly with minimal data
96
A Survey on Bias and Fairness in Machine Learning
97
Deep learning at base-resolution reveals motif syntax of the cis-regulatory code
98
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
99
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
100
Pythia: AI-assisted Code Completion System
101
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
102
Efficient Pipeline for Camera Trap Image Review
103
Data Efficient Reinforcement Learning for Legged Robots
104
Deep learning: new computational modelling techniques for genomics
105
The Risk of Racial Bias in Hate Speech Detection
106
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
107
Selective prediction-set models with coverage guarantees
108
SPoC: Search-based Pseudocode to Code
109
Towards Non-I.I.D. image classification: A dataset and baselines
110
Do Image Classifiers Generalize Across Time?
111
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
112
Considerations for Strategic Use of High-Throughput Transcriptomics Chemical Screening Data in Regulatory Decisions.
113
Fair Resource Allocation in Federated Learning
114
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
115
When Code Completion Fails: A Case Study on Real-World Completions
116
Learning Robust Global Representations by Penalizing Local Predictive Power
117
Yielding to the image: How phenotyping reproductive growth can assist crop improvement and production.
118
Neural Program Repair by Jointly Learning to Localize and Repair
119
PAWS: Paraphrase Adversaries from Word Scrambling
120
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
121
Frequency and Distribution of Chest Radiographic Findings in COVID-19 Positive Patients
122
How Convolutional Neural Networks Diagnose Plant Disease
123
Regularized Learning for Domain Adaptation under Label Shifts
124
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants
125
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program
126
Domain Generalization by Solving Jigsaw Puzzles
127
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
128
Limitations of Pinned AUC for Measuring Unintended Bias
129
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
130
Predictive Inequity in Object Detection
131
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
132
Do ImageNet Classifiers Generalize to ImageNet?
133
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
134
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
135
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
136
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
137
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
138
Cross-lingual Language Model Pretraining
139
Class-Balanced Loss Based on Effective Number of Samples
140
Ear density estimation from high resolution RGB imagery using deep learning technique
141
Accurate prediction of cell type-specific transcription factor binding
142
Ultra-large library docking for discovering new chemotypes
143
Privacy in the age of medical big data
144
Predicting Splicing from Primary Sequence with Deep Learning
145
Measuring and Mitigating Unintended Bias in Text Classification
146
Anchor: trans-cell type prediction of transcription factor binding sites
147
Not Using the Car to See the Sidewalk — Quantifying and Controlling the Effects of Context in Classification and Segmentation
148
What is the Effect of Importance Weighting in Deep Learning?
149
Moment Matching for Multi-Source Domain Adaptation
150
LEAF: A Benchmark for Federated Settings
151
MetaReg: Towards Domain Generalization using Meta-Regularization
152
Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
153
Deep learning predicts hip fracture using confounding patient and healthcare variables
154
High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model
155
Learning Models with Uniform Performance via Distributionally Robust Optimization
156
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
157
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime
158
How Powerful are Graph Neural Networks?
159
A method to automatically detect fish aggregations using horizontally scanning sonar
160
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
161
Deep Domain Generalization via Conditional Invariant Adversarial Networks
162
Multi-Source Domain Adaptation with Mixture of Experts
163
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
164
Generalisation in humans and deep neural networks
165
Reducing Gender Bias in Abusive Language Detection
166
The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning
167
On the Capital Market Consequences of Alternative Data: Evidence from Outer Space
168
Predicting breast tumor proliferation from whole‐slide images: The TUPAC16 challenge
169
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
170
Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge
171
Recognition in Terra Incognita
172
Unsupervised phenotypic analysis of cellular images with multi-scale convolutional neural networks
173
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
174
Ethical Considerations when Using Geospatial Technologies for Evidence Generation
175
Fairness Without Demographics in Repeated Loss Minimization
176
VoxCeleb2: Deep Speaker Recognition
177
Machine learning to classify animal species in camera trap images: applications in ecology
178
Rotation Equivariant CNNs for Digital Pathology
179
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation
180
Automated Essay Scoring in the Presence of Biased Ratings
181
Domain Generalization with Adversarial Feature Learning
182
Why Is My Classifier Discriminatory?
183
Bringing a GAN to a Knife-Fight: Adapting Malware Communication to Avoid Detection
184
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
185
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
186
A computer vision for animal ecology.
187
Generalizing to Unseen Domains via Adversarial Data Augmentation
188
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
189
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
190
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
191
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
192
Datasheets for datasets
193
Delayed Impact of Fair Machine Learning
194
Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing
195
Adversarial Stain Transfer for Histopathology Image Analysis
196
Mapping local variation in educational attainment across Africa
197
Mapping child growth failure in Africa between 2000 and 2015
198
Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks
199
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
200
Detecting and Correcting for Label Shift with Black Box Predictors
201
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
202
The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening
203
The accuracy, fairness, and limits of predicting recidivism
204
Incremental Adversarial Domain Adaptation for Continually Changing Environments
205
Mapping the world population one building at a time
206
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
207
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
208
Functional Map of the World
209
Decoupled Weight Decay Regularization
210
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
211
Quantifying the Transition from Python 2 to 3: An Empirical Study of Python Applications
212
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
213
Correcting nuisance variation using Wasserstein distance
214
Calibration drift in regression and machine learning models for acute kidney injury
215
Conditional variance penalties and domain shift robustness
216
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks
217
Learning to Generalize: Meta-Learning for Domain Generalization
218
Deeper, Broader and Artier Domain Generalization
219
DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning
220
Machine Learning Methods for Histopathological Image Analysis
221
A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
222
Data-analysis strategies for image-based cell profiling
223
Context-Based Normalization of Histological Stains Using Deep Convolutional Features
224
High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field.
225
Improving Phenotypic Measurements in High-Content Imaging Screens
226
Wasserstein Distance Guided Representation Learning for Domain Adaptation
227
Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English
228
Deep Hashing Network for Unsupervised Domain Adaptation
229
FactorNet: a deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data
230
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
231
Why Batch Effects Matter in Omics Data, and How to Avoid Them.
232
From Parity to Preference-based Notions of Fairness in Classification
233
Opportunities and obstacles for deep learning in biology and medicine
234
SmartPaste: Learning to Adapt Source Code
235
A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions
236
Selective Classification for Deep Neural Networks
237
Neural Message Passing for Quantum Chemistry
238
Gender and Dialect Bias in YouTube’s Automatic Captions
239
Domain randomization for transferring deep neural networks from simulation to the real world
240
Detecting Cancer Metastases on Gigapixel Pathology Images
241
Adversarial Discriminative Domain Adaptation
242
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data
243
Algorithmic Decision Making and the Cost of Fairness
244
Dermatologist-level classification of skin cancer with deep neural networks
245
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
246
Harmonic Networks: Deep Translation and Rotation Equivariance
247
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
248
TorontoCity: Seeing the World with a Million Eyes
249
Sources of variation in under-5 mortality across sub-Saharan Africa: a spatial analysis.
250
(CAD)$^2$RL: Real Single-Image Flight without a Single Real Image
251
Learning to Navigate in Complex Environments
252
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
253
Dialogue Learning With Human-In-The-Loop
254
A Neural Approach to Automated Essay Scoring
255
Probabilistic model for code with decision trees
256
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
257
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
258
Densely Connected Convolutional Networks
259
Evaluating the evaluations of code recommender systems: A reality check
260
Combining satellite imagery and machine learning to predict poverty
261
Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method
262
Playing for Data: Ground Truth from Computer Games
263
The Social Impact of Natural Language Processing
264
Demographic Dialectal Variation in Social Media: A Case Study of African-American English
265
Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research
266
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
267
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
268
MIMIC-III, a freely accessible critical care database
269
AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning
270
Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes
271
Revisiting Batch Normalization For Practical Domain Adaptation
272
Deep Residual Learning for Image Recognition
273
Microscopy-Based High-Content Screening
274
Intelligent Code Completion with Bayesian Networks
275
Predicting poverty and wealth from mobile phone metadata
276
Return of Frustratingly Easy Domain Adaptation
277
ZINC 15 – Ligand Discovery for Everyone
278
Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks
279
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
280
PubChem Substance and Compound databases
281
Suggesting accurate method and class names
282
Predicting effects of noncoding variants with deep learning–based sequence model
283
Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses
284
Challenges of studying and processing dialects in social media
285
Improved concept drift handling in surgery prediction and other applications
286
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
287
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
288
CACHECA: A Cache Language Model Based Code Suggestion Tool
289
Graph-Based Statistical Language Model for Code
290
Machine learning applications in genetics and genomics
291
Librispeech: An ASR corpus based on public domain audio books
292
Precinct or Prejudice? Understanding Racial Disparities in New York City's Stop-and-Frisk Policy
293
Learning Transferable Features with Deep Adaptation Networks
294
Integrative analysis of 111 reference human epigenomes
295
Causal inference by using invariant prediction: identification and confidence intervals
296
Adam: A Method for Stochastic Optimization
297
Explaining and Harnessing Adversarial Examples
298
Deep Domain Confusion: Maximizing for Domain Invariance
299
Unsupervised Domain Adaptation by Backpropagation
300
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis
301
Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis
302
Comparative analysis of metazoan chromatin organization
303
Targeting direct cash transfers to the extremely poor
304
When “the state of the art” is counting words
305
Batch Effect Confounding Leads to Strong Bias in Performance Estimates Obtained by Cross-Validation
306
Code completion with statistical language models
307
Maximin effects in inhomogeneous large-scale data
308
A review of novelty detection
309
High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells
310
Perspective: Fifty years of density-functional theory in chemical physics.
311
State-of-the-art automated essay scoring: Competition, results, and future directions from a United States demonstration
312
Scaling short-answer grading by combining peer assessment with algorithmic scoring
313
Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias
314
Peer and self assessment in massive online classes
315
High-Resolution Global Maps of 21st-Century Forest Cover Change
316
The Cancer Genome Atlas Pan-Cancer analysis project
317
The Tox21 robotic platform for the assessment of environmental chemicals--from vision to reality.
318
Tuned Models of Peer Assessment in MOOCs
319
Domain Adaptation under Target and Conditional Shift
320
The Protein-Folding Problem, 50 Years On
321
Estimating Escapement for a Low-Abundance Steelhead Population Using Dual-Frequency Identification Sonar (DIDSON)
322
Counterfactual reasoning and learning systems: the example of computational advertising
323
The influence of race and ethnicity on the biology of cancer
324
An Integrated Encyclopedia of DNA Elements in the Human Genome
325
Annotated high-throughput microscopy image sets for validation
326
The practical effect of batch on genomic prediction
327
A review of recent advances in learner and skill modeling in intelligent learning environments
328
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
329
Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
330
How were new medicines discovered?
331
Unbiased look at dataset bias
332
Fairness through awareness
333
Principles of early drug discovery
334
Impact of high-throughput screening in biomedical research
335
Bag-of-visual-words and spatial extensions for land-use classification
336
Tackling the widespread and critical impact of batch effects in high-throughput data
337
Adapting Visual Category Models to New Domains
338
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
339
Using twinning to adapt programs to alternative APIs
340
Histopathological Image Analysis: A Review
341
Lectures on Stochastic Programming: Modeling and Theory
342
Learning from examples to improve code completion systems
343
A global poverty map derived from satellite data
344
A method for normalizing histology slides for quantitative analysis
345
Dataset Shift in Machine Learning
346
Domain Adaptation with Multiple Sources
347
Using remotely sensed night-time light as a proxy for poverty in Africa
348
How Program History Can Improve Code Completion
349
Classification with a Reject Option using a Hinge Loss
350
An Analysis of the New York City Police Department's “Stop-and-Frisk” Policy in the Context of Claims of Racial Bias
351
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
352
Analysis of Representations for Domain Adaptation
353
High-throughput RNAi screening in cultured cells: a user's guide
354
Classifier Technology and the Illusion of Progress
355
Virtual screening of chemical libraries
356
Exploring Alternative Measures of Welfare in the Absence of Expenditure Data
357
RNA Interference and Small Interfering RNAs
358
Improving predictive inference under covariate shift by weighting the log-likelihood function
359
Education reforms struggle against apartheid's legacy
360
Learning in the Presence of Concept Drift and Hidden Contexts
361
The art and practice of structure‐based drug design: A molecular modeling perspective
362
A large‐scale experiment to assess protein structure prediction methods
363
A method for improving classification reliability of multilayer perceptrons
364
Building a Large Annotated Corpus of English: The Penn Treebank
365
Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity
366
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
367
Living Planet Report 2020 - Bending the curve of biodiversity loss
369
Scaling out-ofdistribution detection for real-world settings
370
Fortifying toxic speech detectors against veiled toxicity
371
High accuracy protein structure prediction using deep learning
372
When algorithms give real students imaginary grades. The New York Times
373
The Inclusive Images Competition
374
R X R X 1: A N IMAGE SET FOR CELLULAR MORPHOLOGICAL VARIATION ACROSS MANY EXPERIMENTAL BATCHES
375
MEASURES OF FAIRNESS FOR NEW YORK CITY’S SUPERVISED RELEASE RISK ASSESSMENT TOOL
376
Leopard: fast decoding cell typespecific transcription factor binding landscape at singlenucleotide resolution. bioRxiv
377
Xnli: Evaluating crosslingual sentence representations
378
Animal Population Censusing at Scale with Citizen Science and Photographic Identification
379
enchmark for molecular machine learning †
380
Camera-trapping for conservation: a guide to best-practices
381
A computer program used for bail and sentencing decisions was labeled biased against blacks. It’s actually not that clear
382
Domainadversarial training of neural networks
383
To predict and serve? Significance
384
Incorporating spatial context and fine-grained detail from satellite imagery to predict poverty
385
The Times is partnering with Jigsaw to expand comment capabilities. The New York Times
386
How we analyzed the compas recidivism algorithm
388
The elephant in the room.
389
Reading Digits in Natural Images with Unsupervised Feature Learning
390
Assessing asset indices. Demography
391
The Creation and Validation of the Ohio Risk Assessment System ( ORAS )
392
Rdkit: Open-source cheminformatics
393
The mnist database of handwritten digits
394
Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure
395
Variation in childhood diarrheal morbidity and mortality in Africa
397
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