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)
Explanation Extraction from Hierarchical Classification Frameworks for Long Legal Documents
NAACL 2024
Explanation in the Era of Large Language Models
NAACL 2024
Explanations that reveal all through the definition of encoding
NeurIPS 2024
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
EMNLP 2024
Explicit Inductive Inference using Large Language Models
EMNLP 2024
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
NeurIPS 2024
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
ICLR 2024
Exploiting Class Probabilities for Black-box Sentence-level Attacks
EACL 2024
Exploiting CLIP for Zero-Shot HOI Detection Requires Knowledge Distillation at Multiple Levels
WACV 2024
Exploiting Code Symmetries for Learning Program Semantics
ICML 2024
Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint)
IJCAI 2024
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
NeurIPS 2024
Exploiting Dialogue Acts and Context to Identify Argumentative Relations in Online Debates
ACL 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
AAAI 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search
ACL 2024
Exploiting Representation Curvature for Boundary Detection in Time Series
NeurIPS 2024
Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
ECCV 2024
Exploiting Style Latent Flows for Generalizing Deepfake Video Detection
CVPR 2024
Exploiting the Signal-Leak Bias in Diffusion Models
WACV 2024
Exploiting the Social-Like Prior in Transformer for Visual Reasoning
AAAI 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
EMNLP 2024
Exploration by Learning Diverse Skills through Successor State Representations
NeurIPS 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
JMLR 2024
Explorations of Self-Repair in Language Models
ICML 2024
Exploration via linearly perturbed loss minimisation
AISTATS 2024