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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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Papers (including subtopics)

Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022 Saving Dense Retriever from Shortcut Dependency in Conversational Search EMNLP 2022 SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features AACL 2022 SBU Figures It Out: Models Explain Figurative Language EMNLP 2022 Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems NAACL 2022 Scalable Computation of Causal Bounds ICML 2022 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022 Scalable Interpretability via Polynomials NeurIPS 2022 Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs NeurIPS 2022 Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NeurIPS 2022 Scale-invariant Learning by Physics Inversion NeurIPS 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AutoML 2022 Scaling Language Model Size in Cross-Device Federated Learning ACL 2022 Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization NeurIPS 2022 Scaling Up Vision-Language Pre-Training for Image Captioning CVPR 2022 ScanQA: 3D Question Answering for Spatial Scene Understanding CVPR 2022 Scene Consistency Representation Learning for Video Scene Segmentation CVPR 2022 Scene Graph Expansion for Semantics-Guided Image Outpainting CVPR 2022 Scene Graph Modification as Incremental Structure Expanding COLING 2022 Scene Transformer: A unified architecture for predicting future trajectories of multiple agents ICLR 2022 Scheduled Multi-task Learning for Neural Chat Translation ACL 2022 ScienceWorld: Is your Agent Smarter than a 5th Grader? EMNLP 2022 Scientific and Creative Analogies in Pretrained Language Models EMNLP 2022 SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration NeurIPS 2022 Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models ICML 2022