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)
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
NeurIPS 2021
An Efficient Transformer Decoder with Compressed Sub-layers
AAAI 2021
An Empirical Comparison of Instance Attribution Methods for NLP
NAACL 2021
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter
ACL 2021
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
EACL 2021
An End-to-End Approach for Full Bridging Resolution
EMNLP 2021
An End-to-End Network for Emotion-Cause Pair Extraction
EACL 2021
An End-to-End Solution for Named Entity Recognition in eCommerce Search
AAAI 2021
A Nested Named Entity Recognition Model Based on Multi-agent Communication Mechanism (Student Abstract)
AAAI 2021
A Neural Graph-based Local Coherence Model
EMNLP 2021
A Neural Network Auction For Group Decision Making Over a Continuous Space
IJCAI 2021
A Neural Transition-based Model for Argumentation Mining
ACL 2021
A New Approach to Overgenerating and Scoring Abstractive Summaries
NAACL 2021
A New Bounding Scheme for Influence Diagrams
AAAI 2021
A New Formalism, Method and Open Issues for Zero-Shot Coordination
ICML 2021
A New View of Multi-modal Language Analysis: Audio and Video Features as Text “Styles”
EACL 2021
An Exploration of the Acoustic Space of Rhotics and Laterals in Ruruuli
Interspeech 2021
An IDR Framework of Opportunities and Barriers between HCI and NLP
EACL 2021
An in-depth look at Euclidean disk embeddings for structure preserving parsing
EMNLP 2021
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios
IJCAI 2021
An Integrated Framework for Two-Pass Personalized Voice Trigger
Interspeech 2021
An Intelligent Assistant for Problem Behavior Management
AAAI 2021
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention
MLHC 2021
An Investigation of Language Model Interpretability via Sentence Editing
EMNLP 2021
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis
EMNLP 2021