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)
Conformal Contextual Robust Optimization
AISTATS 2024
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance
AAAI 2024
Conformalized Credal Set Predictors
NeurIPS 2024
Conformalized Multiple Testing after Data-dependent Selection
NeurIPS 2024
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
RSS 2024
Conformal Language Modeling
ICLR 2024
Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments
CoRL 2024
Conformal Prediction Sets Improve Human Decision Making
ICML 2024
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
ICML 2024
Confounded Budgeted Causal Bandits
CLeaR 2024
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
CVPR 2024
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
NAACL 2024
Confronting Reward Model Overoptimization with Constrained RLHF
ICLR 2024
ConfTrack: Kalman Filter-Based Multi-Person Tracking by Utilizing Confidence Score of Detection Box
WACV 2024
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
AAAI 2024
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
ACL 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
NeurIPS 2024
CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English
COLING 2024
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
NeurIPS 2024
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
ICLR 2024
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
ICML 2024
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game
EMNLP 2024
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
NeurIPS 2024
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants
NAACL 2024
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
ICLR 2024