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 Customized Visual Models With Retrieval-Augmented Knowledge CVPR 2023 Learning DAGs from Data with Few Root Causes NeurIPS 2023 Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation NeurIPS 2023 Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image CVPR 2023 Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data L4DC 2023 Learning Dynamic Representations for Discourse Dependency Parsing EMNLP 2023 Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix EMNLP 2023 Learning Efficient Abstract Planning Models that Choose What to Predict CoRL 2023 Learning Emotion Representations From Verbal and Nonverbal Communication CVPR 2023 Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles L4DC 2023 Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions NeurIPS 2023 Learning Event-aware Measures for Event Coreference Resolution ACL 2023 Learning Event-Relevant Factors for Video Anomaly Detection AAAI 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023 Learning Fair Graph Representations via Automated Data Augmentations ICLR 2023 Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023 Learning from Active Human Involvement through Proxy Value Propagation NeurIPS 2023 Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation ACL 2023 Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion NeurIPS 2023 Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023 Learning from Mistakes via Cooperative Study Assistant for Large Language Models EMNLP 2023 Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search AAAI 2023 Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NeurIPS 2023 Learning good interventions in causal graphs via covering UAI 2023 Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network ICLR 2023