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)
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
NeurIPS 2023
DDNeRF: Depth Distribution Neural Radiance Fields
WACV 2023
Dealing with Unknown Variances in Best-Arm Identification
ALT 2023
DeAR: Debiasing Vision-Language Models With Additive Residuals
CVPR 2023
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
ICLR 2023
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract)
AAAI 2023
Debiasing Multimodal Models via Causal Information Minimization
EMNLP 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
NeurIPS 2023
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
ACL 2023
Debunking Biases in Attention
ACL 2023
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression
ICCV 2023
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
ICLR 2023
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
ICLR 2023
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
ICLR 2023
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
NeurIPS 2023
Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty
JMLR 2023
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
ICLR 2023
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
CoRL 2023
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
NeurIPS 2023
Deciphering Stereotypes in Pre-Trained Language Models
EMNLP 2023
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4
EMNLP 2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
NeurIPS 2023
Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact Verification
ACL 2023
Decoding Layer Saliency in Language Transformers
ICML 2023
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers
EMNLP 2023