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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
'5
'10
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'25

Papers (including subtopics)

Learning to Scaffold: Optimizing Model Explanations for Teaching NeurIPS 2022 Learning to Separate Voices by Spatial Regions ICML 2022 Learning to Share in Networked Multi-Agent Reinforcement Learning NeurIPS 2022 Learning to Solve PDE-constrained Inverse Problems with Graph Networks ICML 2022 Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum AAAI 2022 Learning to Transfer Prompts for Text Generation NAACL 2022 Learning to Walk with Dual Agents for Knowledge Graph Reasoning AAAI 2022 Learning Transferable Human-Object Interaction Detector With Natural Language Supervision CVPR 2022 Learning transferable motor skills with hierarchical latent mixture policies ICLR 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022 Learning Value Functions from Undirected State-only Experience ICLR 2022 Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration CoRL 2022 Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding CoRL 2022 Learning what to remember ALT 2022 Learning When to Translate for Streaming Speech ACL 2022 Learning with Domain Knowledge to Develop Justifiable Convolutional Networks ACML 2022 Learning with Interactive Models over Decision-Dependent Distributions ACML 2022 Learning with Rejection for Abstractive Text Summarization EMNLP 2022 Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification CVPR 2022 Learn to Reverse DNNs from AI Programs Automatically IJCAI 2022 Learn what matters: cross-domain imitation learning with task-relevant embeddings NeurIPS 2022 Leashing the Inner Demons: Self-Detoxification for Language Models AAAI 2022 LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue AACL 2022 LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation COLING 2022