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)

SAM as an Optimal Relaxation of Bayes ICLR 2023 SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract) IJCAI 2023 Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models ICML 2023 SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations NeurIPS 2023 Sample based Explanations via Generalized Representers NeurIPS 2023 Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling NeurIPS 2023 Sample Complexity of Distinguishing Cause from Effect AISTATS 2023 Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning NeurIPS 2023 Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents NeurIPS 2023 Sample Efficient Paradigms for Personalized Assessment of Taskable AI Systems IJCAI 2023 Sample-Specific Root Causal Inference with Latent Variables CLeaR 2023 Sampling Better Negatives for Distantly Supervised Named Entity Recognition ACL 2023 SANA at NADI 2023 shared task: Ensemble of Layer-Wise BERT-based models for Dialectal Arabic Identification EMNLP 2023 SANGEA: Scalable and Attributed Network Generation ACML 2023 SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes ACL 2023 SASPEECH: A Hebrew Single Speaker Dataset for Text To Speech and Voice Conversion Interspeech 2023 SatLM: Satisfiability-Aided Language Models Using Declarative Prompting NeurIPS 2023 SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning CoRL 2023 SayTap: Language to Quadrupedal Locomotion CoRL 2023 Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge ACL 2023 Scaffolding a Student to Instill Knowledge ICLR 2023 Scalable 3D Captioning with Pretrained Models NeurIPS 2023 Scalable and Explainable Automated Scoring for Open-Ended Constructed Response Math Word Problems ACL 2023 Scalable Causal Discovery with Score Matching CLeaR 2023 Scalable Computation of Causal Bounds JMLR 2023