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)
Towards Objectively Evaluating the Quality of Generated Medical Summaries
EACL 2021
Towards Open World Object Detection
CVPR 2021
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
NeurIPS 2021
Towards Personalised and Document-level Machine Translation of Dialogue
EACL 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
ACL 2021
Towards Quantifiable Dialogue Coherence Evaluation
ACL 2021
Towards Reducing Biases in Combining Multiple Experts Online
IJCAI 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
ICML 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
CVPR 2021
Towards Robustness Against Natural Language Word Substitutions
ICLR 2021
Towards Robustness of Deep Neural Networks via Regularization
ICCV 2021
Towards Robustness of Text-to-SQL Models against Synonym Substitution
ACL 2021
Towards Robust Neural Networks via Close-loop Control
ICLR 2021
Towards robust vision by multi-task learning on monkey visual cortex
NeurIPS 2021
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract)
AAAI 2021
Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching
IJCAI 2021
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?
AAAI 2021
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter
NAACL 2021
Towards the Explainability of Multimodal Speech Emotion Recognition
Interspeech 2021
Towards the Prediction of the Vocal Tract Shape from the Sequence of Phonemes to be Articulated
Interspeech 2021
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
ICML 2021
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
NeurIPS 2021
Towards Unified Surgical Skill Assessment
CVPR 2021
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
NeurIPS 2021
Towards User-Driven Neural Machine Translation
ACL 2021