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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
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023 Contextual Bandits and Imitation Learning with Preference-Based Active Queries NeurIPS 2023 Contextual Conservative Interleaving Bandits ICML 2023 Contextual Gaussian Process Bandits with Neural Networks NeurIPS 2023 Contextualized Soft Prompts for Extraction of Event Arguments ACL 2023 Contextual Knowledge Learning for Dialogue Generation ACL 2023 Contextual Reliability: When Different Features Matter in Different Contexts ICML 2023 Continual Learning for Instruction Following from Realtime Feedback NeurIPS 2023 Continually Improving Extractive QA via Human Feedback EMNLP 2023 Continual Pre-training of Language Models ICLR 2023 Continuation Path Learning for Homotopy Optimization ICML 2023 Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins ICLR 2023 Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation CVPR 2023 Continuous Landmark Detection With 3D Queries CVPR 2023 Continuous-time identification of dynamic state-space models by deep subspace encoding ICLR 2023 Continuous Trajectory Generation Based on Two-Stage GAN AAAI 2023 ContraFeat: Contrasting Deep Features for Semantic Discovery AAAI 2023 Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities NeurIPS 2023 Contrastive Corpus Attribution for Explaining Representations ICLR 2023 Contrastive Error Attribution for Finetuned Language Models ACL 2023 Contrastive Grouping With Transformer for Referring Image Segmentation CVPR 2023 Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition AAAI 2023 Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NeurIPS 2023