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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
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'25

Papers (including subtopics)

Learning Deep Input-Output Stable Dynamics NeurIPS 2022 Learning Dialogue Representations from Consecutive Utterances NAACL 2022 Learning Disentangled Representation in Pruning for Real-Time UAV Tracking ACML 2022 Learning Disentangled Textual Representations via Statistical Measures of Similarity ACL 2022 Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game NeurIPS 2022 Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization CoRL 2022 Learning Efficient Online 3D Bin Packing on Packing Configuration Trees ICLR 2022 Learning-Enabled Robust Control with Noisy Measurements L4DC 2022 Learning explainable templated graphical models UAI 2022 Learning First-Order Rules with Differentiable Logic Program Semantics IJCAI 2022 Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification COLING 2022 Learning From All Vehicles CVPR 2022 Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits AISTATS 2022 Learning From Failure: Data Capture in an Australian Aboriginal Community ACL 2022 Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference ACL 2022 Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing ACL 2022 Learning from Stochastically Revealed Preference NeurIPS 2022 Learning Functional Distributional Semantics with Visual Data ACL 2022 Learning functions on multiple sets using multi-set transformers UAI 2022 Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems NeurIPS 2022 Learning General World Models in a Handful of Reward-Free Deployments NeurIPS 2022 Learning Graphon Mean Field Games and Approximate Nash Equilibria ICLR 2022 Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation CVPR 2022 Learning Hierarchical Structures with Differentiable Nondeterministic Stacks ICLR 2022 Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations COLING 2022