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)
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
AISTATS 2022
SHAP-Based Explanation Methods: A Review for NLP Interpretability
COLING 2022
Shape-Invariant 3D Adversarial Point Clouds
CVPR 2022
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds
AAAI 2022
Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts
COLING 2022
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations
AAAI 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
CVPR 2022
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
NeurIPS 2022
SHARE: a System for Hierarchical Assistive Recipe Editing
EMNLP 2022
Shared Autonomy Systems with Stochastic Operator Models
IJCAI 2022
Shield Decentralization for Safe Multi-Agent Reinforcement Learning
NeurIPS 2022
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection
IJCAI 2022
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
ICML 2022
Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding
CVPR 2022
Short-Term Plasticity Neurons Learning to Learn and Forget
ICML 2022
Short-Term Solar Irradiance Prediction From Sky Images With a Clear Sky Model
WACV 2022
Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation
ACL 2022
Should I disclose my dataset? Caveats between reproducibility and individual data rights
EMNLP 2022
Should We Ban English NLP for a Year?
EMNLP 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
NAACL 2022
Show, Deconfound and Tell: Image Captioning With Causal Inference
CVPR 2022
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data
ACL 2022
Shunted Self-Attention via Multi-Scale Token Aggregation
CVPR 2022
ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton
AAAI 2022
Sibylvariant Transformations for Robust Text Classification
ACL 2022