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)
Tuning Computer Vision Models With Task Rewards
ICML 2023
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
CoRL 2023
Turbo your multi-modal classification with contrastive learning
Interspeech 2023
Turning a CLIP Model Into a Scene Text Detector
CVPR 2023
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
CVPR 2023
TUTORING: Instruction-Grounded Conversational Agent for Language Learners
AAAI 2023
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning
ICLR 2023
TwistList: Resources and Baselines for Tongue Twister Generation
ACL 2023
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers
ICCV 2023
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification
ACL 2023
Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning
ACL 2023
Two-stage holistic and contrastive explanation of image classification
UAI 2023
Two-Stage Voice Anonymization for Enhanced Privacy
Interspeech 2023
Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms
CVPR 2023
TypeT5: Seq2seq Type Inference using Static Analysis
ICLR 2023
UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation
SemEval 2023
UATVR: Uncertainty-Adaptive Text-Video Retrieval
ICCV 2023
U-Calibration: Forecasting for an Unknown Agent
COLT 2023
UDE: A Unified Driving Engine for Human Motion Generation
CVPR 2023
UIRISC at SemEval-2023 Task 10: Explainable Detection of Online Sexism by Ensembling Fine-tuning Language Models
SemEval 2023
UKP-SQuARE v3: A Platform for Multi-Agent QA Research
ACL 2023
UL2: Unifying Language Learning Paradigms
ICLR 2023
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
CVPR 2023
Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity
CVPR 2023
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
AISTATS 2023