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
'5
'10
'15
'20
'25
Papers (including subtopics)
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models
EMNLP 2024
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models
ECCV 2024
Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine
L4DC 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift
UAI 2024
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
MLHC 2024
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
NeurIPS 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
NeurIPS 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
NeurIPS 2024
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
NAACL 2024
Decoding Ableism in Large Language Models: An Intersectional Approach
EMNLP 2024
Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making
AAAI 2024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
ICML 2024
Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation
Interspeech 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
EMNLP 2024
Decoding Natural Images from EEG for Object Recognition
ICLR 2024
Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models Using Minimal Pairs
COLING 2024
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
EMNLP 2024
Decoding-Time Language Model Alignment with Multiple Objectives
NeurIPS 2024
Decoding-time Realignment of Language Models
ICML 2024
Decomposable Transformer Point Processes
NeurIPS 2024
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
NeurIPS 2024
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison
EMNLP 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
CVPR 2024
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition
COLING 2024
Decomposing and Editing Predictions by Modeling Model Computation
ICML 2024