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)
Optimizing over trained GNNs via symmetry breaking
NeurIPS 2023
Optimizing Prompts for Text-to-Image Generation
NeurIPS 2023
Optimizing Retrieval-augmented Reader Models via Token Elimination
EMNLP 2023
Optimizing Test-Time Query Representations for Dense Retrieval
ACL 2023
Optimizing the Placement of Roadside LiDARs for Autonomous Driving
ICCV 2023
OPTQ: Accurate Quantization for Generative Pre-trained Transformers
ICLR 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
ACL 2023
OPUS-CAT Terminology Systems for the WMT23 Terminology Shared Task
EMNLP 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path
AISTATS 2023
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
ICML 2023
ORANGE: Text-video Retrieval via Watch-time-aware Heterogeneous Graph Contrastive Learning
EMNLP 2023
ORCA: A Challenging Benchmark for Arabic Language Understanding
ACL 2023
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
EMNLP 2023
ORC: Network Group-based Knowledge Distillation using Online Role Change
ICCV 2023
Ordered and Binary Speaker Embedding
Interspeech 2023
Order Matters: Agent-by-agent Policy Optimization
ICLR 2023
ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning
ACL 2023
Orthogonal Subspace Learning for Language Model Continual Learning
EMNLP 2023
OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation
CVPR 2023
Oscillation-free Quantization for Low-bit Vision Transformers
ICML 2023
OTOv2: Automatic, Generic, User-Friendly
ICLR 2023
Outlier Robust Adversarial Training
ACML 2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling
EMNLP 2023
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
ICML 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
CVPR 2023