Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS
ICLR 2020
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
EMNLP 2020
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods
NeurIPS 2020
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines
IJCAI 2020
How Decoding Strategies Affect the Verifiability of Generated Text
EMNLP 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
EMNLP 2020
How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope
ACL 2020
How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization
EMNLP 2020
How Does Selective Mechanism Improve Self-Attention Networks?
ACL 2020
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions
NeurIPS 2020
How do fair decisions fare in long-term qualification?
NeurIPS 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
EMNLP 2020
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study
EMNLP 2020
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT’s Attention
COLING 2020
How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech
ACL 2020
How Private Are Commonly-Used Voting Rules?
UAI 2020
How recurrent networks implement contextual processing in sentiment analysis
ICML 2020
How Should an Agent Practice?
AAAI 2020
How to 0wn the NAS in Your Spare Time
ICLR 2020
How to Ask Good Questions? Try to Leverage Paraphrases
ACL 2020
How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue
EMNLP 2020
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation
CoNLL 2020
How to Train Your Deep Multi-Object Tracker
CVPR 2020
How well does surprisal explain N400 amplitude under different experimental conditions?
CoNLL 2020
HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text
SemEval 2020