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)
Scalable Non-linear Learning with Adaptive Polynomial Expansions
NeurIPS 2014
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations
ICML 2014
Scaling-up Importance Sampling for Markov Logic Networks
NeurIPS 2014
Scene Signatures: Localised and Point-less Features for Localisation
RSS 2014
Searching for Higgs Boson Decay Modes with Deep Learning
NeurIPS 2014
Seeing What You're Told: Sentence-Guided Activity Recognition In Video
CVPR 2014
Self-Adaptable Templates for Feature Coding
NeurIPS 2014
Self-Calibration and Visual SLAM with a Multi-Camera System on a Micro Aerial Vehicle
RSS 2014
Sequence to Sequence Learning with Neural Networks
NeurIPS 2014
Set-Valued Approachability and Online Learning with Partial Monitoring
JMLR 2014
Shape and Illumination from Shading using the Generic Viewpoint Assumption
NeurIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
NeurIPS 2014
Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras
CVPR 2014
Socially-aware Large-scale Crowd Forecasting
CVPR 2014
Sparse binary zero-sum games
ACML 2014
Sparse Multi-Task Reinforcement Learning
NeurIPS 2014
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
NeurIPS 2014
SphereFlow: 6 DoF Scene Flow from RGB-D Pairs
CVPR 2014
Structured Generative Models of Natural Source Code
ICML 2014
Structured Prediction of Network Response
ICML 2014
Structured Prediction via Output Space Search
JMLR 2014
Submodular Attribute Selection for Action Recognition in Video
NeurIPS 2014
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
NeurIPS 2014
Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions
RSS 2014
The Large Margin Mechanism for Differentially Private Maximization
NeurIPS 2014