Skip to content
conftrace_

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
'15
'20
'25

Papers (including subtopics)

Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017 Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics CoRL 2017 Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity NeurIPS 2017 Learning Important Features Through Propagating Activation Differences ICML 2017 Learning in POMDPs with Monte Carlo Tree Search ICML 2017 Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions JMLR 2017 Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition NeurIPS 2017 Learning Language Representations for Typology Prediction EMNLP 2017 Learning Lexico-Functional Patterns for First-Person Affect ACL 2017 Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations RSS 2017 Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics RSS 2017 Learning Multiple Tasks with Multilinear Relationship Networks NeurIPS 2017 Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017 Learning Neural Representations of Human Cognition across Many fMRI Studies NeurIPS 2017 Learning Non-Discriminatory Predictors COLT 2017 Learning Optimal Interventions AISTATS 2017 Learning Partially Contracting Dynamical Systems from Demonstrations CoRL 2017 Learning Residual Images for Face Attribute Manipulation CVPR 2017 Learning Robotic Manipulation of Granular Media CoRL 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture ICML 2017 Learning Structured Natural Language Representations for Semantic Parsing ACL 2017 Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings ACL 2017 Learning to Discover Sparse Graphical Models ICML 2017