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)
Continual Reinforcement Learning for Controlled Text Generation
COLING 2024
Continual Relation Extraction via Sequential Multi-Task Learning
AAAI 2024
Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection
CoNLL 2024
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
NeurIPS 2024
Continuous Piecewise-Affine Based Motion Model for Image Animation
AAAI 2024
Continuous Pose for Monocular Cameras in Neural Implicit Representation
CVPR 2024
Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records
ACL 2024
Continuous Product Graph Neural Networks
NeurIPS 2024
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
NeurIPS 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
AAAI 2024
CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules
EMNLP 2024
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
ICML 2024
Contracting with a Learning Agent
NeurIPS 2024
ContraSim – Analyzing Neural Representations Based on Contrastive Learning
NAACL 2024
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
CVPR 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
NeurIPS 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
AAAI 2024
Contrastive Decoding Reduces Hallucinations in Large Multilingual Machine Translation Models
EACL 2024
Contrastive Feedback Mechanism for Simultaneous Speech Translation
Interspeech 2024
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
ECCV 2024
Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation
CoRL 2024
Contrastive Instruction Tuning
ACL 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
EMNLP 2024
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
ICLR 2024
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
ECCV 2024