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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'25
Papers (including subtopics)
What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization
ICLR 2022
What to Learn, and How: Toward Effective Learning from Rationales
ACL 2022
What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions
CVPR 2022
What Was Your Name Again? Interrogating Generative Conversational Models For Factual Consistency Evaluation
EMNLP 2022
What You See is What You Classify: Black Box Attributions
NeurIPS 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
NeurIPS 2022
When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty
AAAI 2022
When are Local Queries Useful for Robust Learning?
NeurIPS 2022
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it
NAACL 2022
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
ACL 2022
When Can the Defender Effectively Deceive Attackers in Security Games?
AAAI 2022
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks
EMNLP 2022
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
ICLR 2022
When Combinatorial Thompson Sampling meets Approximation Regret
NeurIPS 2022
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues
ACL 2022
When does CLIP generalize better than unimodal models? When judging human-centric concepts
ACL 2022
When Does Group Invariant Learning Survive Spurious Correlations?
NeurIPS 2022
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes
NAACL 2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
AAAI 2022
When Language Model Meets Private Library
EMNLP 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
NeurIPS 2022
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
AAAI 2022
When should agents explore?
ICLR 2022
When the Student Becomes the Master: Learning Better and Smaller Monolingual Models from mBERT
COLING 2022
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
NeurIPS 2022