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)
Exploring Decomposition for Table-based Fact Verification
EMNLP 2021
Exploring Discourse Structures for Argument Impact Classification
ACL 2021
Exploring Distantly-Labeled Rationales in Neural Network Models
ACL 2021
Exploring Emotional Prototypes in a High Dimensional TTS Latent Space
Interspeech 2021
Exploring Explainable Selection to Control Abstractive Summarization
AAAI 2021
Exploring Listwise Evidence Reasoning with T5 for Fact Verification
ACL 2021
Exploring Methods for Generating Feedback Comments for Writing Learning
EMNLP 2021
Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces
EACL 2021
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation
IJCAI 2021
Exploring Sentence Community for Document-Level Event Extraction
EMNLP 2021
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
ICCV 2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
NeurIPS 2021
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
EMNLP 2021
Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract)
IJCAI 2021
Exploring the Limits of Out-of-Distribution Detection
NeurIPS 2021
Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy
ACL 2021
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results
EMNLP 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
AAAI 2021
Exploring Transfer Learning For End-to-End Spoken Language Understanding
AAAI 2021
Exploring Transitivity in Neural NLI Models through Veridicality
EACL 2021
Exploring wav2vec 2.0 on Speaker Verification and Language Identification
Interspeech 2021
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts
NAACL 2021
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
NeurIPS 2021
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions
ALT 2021
Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models
ACML 2021