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)
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection
CVPR 2022
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
NeurIPS 2022
Revisiting Over-Smoothness in Text to Speech
ACL 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
EMNLP 2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing
EMNLP 2022
Revisiting Random Channel Pruning for Neural Network Compression
CVPR 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
NeurIPS 2022
Revisiting the general identifiability problem
UAI 2022
Revisiting the Roles of “Text” in Text Games
EMNLP 2022
Revisiting the "Video" in Video-Language Understanding
CVPR 2022
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
ICLR 2022
Revisit Systematic Generalization via Meaningful Learning
EMNLP 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
ICML 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
ICLR 2022
Reward-Weighted Regression Converges to a Global Optimum
AAAI 2022
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification
AAAI 2022
REX: Reasoning-Aware and Grounded Explanation
CVPR 2022
RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction
ACL 2022
RGB-Depth Fusion GAN for Indoor Depth Completion
CVPR 2022
Richer Countries and Richer Representations
ACL 2022
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
EMNLP 2022
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
ICML 2022
Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning
ACL 2022
RigNeRF: Fully Controllable Neural 3D Portraits
CVPR 2022
Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videos
EMNLP 2022