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)
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability
L4DC 2020
Contrastive Learning with Adversarial Examples
NeurIPS 2020
Contrastive Self-Supervised Learning for Commonsense Reasoning
ACL 2020
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
ICML 2020
Controllability of Control Argumentation Frameworks
IJCAI 2020
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies
EMNLP 2020
Controllable Neural Text-to-Speech Synthesis Using Intuitive Prosodic Features
Interspeech 2020
Controlling Contact-Rich Manipulation Under Partial Observability
RSS 2020
Controlling generative models with continuous factors of variations
ICLR 2020
Controlling Neural Machine Translation Formality with Synthetic Supervision
AAAI 2020
Controlling the Imprint of Passivization and Negation in Contextualized Representations
EMNLP 2020
Controlling the Strength of Emotions in Speech-Like Emotional Sound Generated by WaveNet
Interspeech 2020
Convergence of Opinion Diffusion is PSPACE-Complete
AAAI 2020
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games
ICML 2020
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
ACL 2020
Conversational Semantic Parsing
EMNLP 2020
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems
ACL 2020
ConveRT: Efficient and Accurate Conversational Representations from Transformers
EMNLP 2020
Converting the Point of View of Messages Spoken to Virtual Assistants
EMNLP 2020
Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models
AISTATS 2020
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
ACL 2020
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction
CVPR 2020
CookGAN: Causality Based Text-to-Image Synthesis
CVPR 2020
Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises
CVPR 2020
Cooperative Multi-player Bandit Optimization
NeurIPS 2020