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)
A Dual Approach to Verify and Train Deep Networks
IJCAI 2019
Advantage Amplification in Slowly Evolving Latent-State Environments
IJCAI 2019
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
ICLR 2019
Adversarial Active Exploration for Inverse Dynamics Model Learning
CoRL 2019
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience
AAAI 2019
Adversarial Attacks Beyond the Image Space
CVPR 2019
Adversarial Attacks on Neural Networks for Graph Data
IJCAI 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
ICCV 2019
Adversarial Defense Through Network Profiling Based Path Extraction
CVPR 2019
Adversarial Defense via Learning to Generate Diverse Attacks
ICCV 2019
Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation
ACL 2019
Adversarial Dropout for Recurrent Neural Networks
AAAI 2019
Adversarial Examples Are Not Bugs, They Are Features
NeurIPS 2019
Adversarial Generation of Time-Frequency Features with application in audio synthesis
ICML 2019
Adversarial Label Learning
AAAI 2019
Adversarial Learning for Weakly-Supervised Social Network Alignment
AAAI 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
AISTATS 2019
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
ACL 2019
Adversarial Machine Learning with Double Oracle
IJCAI 2019
Adversarial Music: Real world Audio Adversary against Wake-word Detection System
NeurIPS 2019
Adversarial Online Learning with noise
ICML 2019
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects
NAACL 2019
Adversarial Removal of Demographic Attributes Revisited
EMNLP 2019
Adversarial Representation Learning for Text-to-Image Matching
ICCV 2019
Adversarial Reprogramming of Text Classification Neural Networks
EMNLP 2019