Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
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'25
Papers (including subtopics)
Controlled Crowdsourcing for High-Quality QA-SRL Annotation
ACL 2020
Controlled Query Evaluation in Description Logics Through Instance Indistinguishability
IJCAI 2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution
NeurIPS 2020
Conversational Document Prediction to Assist Customer Care Agents
EMNLP 2020
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
ACL 2020
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
AAAI 2020
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
IJCAI 2020
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning
IJCAI 2020
CO-Optimal Transport
NeurIPS 2020
Coping With Simulators That Don’t Always Return
AISTATS 2020
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech
Interspeech 2020
CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles
EMNLP 2020
CORAL-DMOEA: Correlation Alignment-Based Information Transfer for Dynamic Multi-Objective Optimization (Student Abstract)
AAAI 2020
Coresets for Data-efficient Training of Machine Learning Models
ICML 2020
Coresets for Regressions with Panel Data
NeurIPS 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
NeurIPS 2020
Cornac: A Comparative Framework for Multimodal Recommender Systems
JMLR 2020
Cost-Accuracy Aware Adaptive Labeling for Active Learning
AAAI 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
AAAI 2020
Cost-Effective Interactive Attention Learning with Neural Attention Processes
ICML 2020
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media
EMNLP 2020
Co-Tuning for Transfer Learning
NeurIPS 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
NeurIPS 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
EMNLP 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering
CVPR 2020