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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Personalized Image Aesthetics Assessment With Rich Attributes CVPR 2022 Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI MIDL 2022 Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows AAAI 2022 Persona or Context? Towards Building Context adaptive Personalized Persuasive Virtual Sales Assistant AACL 2022 Perturbation Augmentation for Fairer NLP EMNLP 2022 Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense ACL 2022 Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning ICML 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning ICLR 2022 Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage ICLR 2022 PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models EMNLP 2022 PF-GNN: Differentiable particle filtering based approximation of universal graph representations ICLR 2022 PG3: Policy-Guided Planning for Generalized Policy Generation IJCAI 2022 Phase Collapse in Neural Networks ICLR 2022 Phase transitions in when feedback is useful NeurIPS 2022 PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence ACL 2022 Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data ACL 2022 Phragmén Rules for Degressive and Regressive Proportionality IJCAI 2022 Phrase-level Textual Adversarial Attack with Label Preservation NAACL 2022 Phylogeny-Inspired Adaptation of Multilingual Models to New Languages AACL 2022 Physical Adversarial Attacks on an Aerial Imagery Object Detector WACV 2022 Physical Inertial Poser (PIP): Physics-Aware Real-Time Human Motion Tracking From Sparse Inertial Sensors CVPR 2022 Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions NeurIPS 2022 PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks ICLR 2022 Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters IJCAI 2022 Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset NeurIPS 2022