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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)

Deepfake Video Detection via Facial Action Dependencies Estimation AAAI 2023 DeepGemini: Verifying Dependency Fairness for Deep Neural Network AAAI 2023 Deep Geometry-Aware Camera Self-Calibration from Video ICCV 2023 Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023 Deep Laplacian-based Options for Temporally-Extended Exploration ICML 2023 Deep Learning for Medical Prediction in Electronic Health Records AAAI 2023 Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness AAAI 2023 Deeply Coupled Cross-Modal Prompt Learning ACL 2023 Deeply Supervised Curriculum Learning for Deep Neural Network-based Sound Source Localization Interspeech 2023 Deep Manifold Attack on Point Clouds via Parameter Plane Stretching AAAI 2023 DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization CVPR 2023 Deep Model Compression Also Helps Models Capture Ambiguity ACL 2023 DeePMOS: Deep Posterior Mean-Opinion-Score of Speech Interspeech 2023 Deep Natural Language Feature Learning for Interpretable Prediction EMNLP 2023 DeepPavlov Dream: Platform for Building Generative AI Assistants ACL 2023 DeepPSL: End-to-End Perception and Reasoning IJCAI 2023 Deep Reinforcement Learning for Cost-Effective Medical Diagnosis ICLR 2023 Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking ACML 2023 Deep Semi-Supervised Metric Learning With Mixed Label Propagation CVPR 2023 DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation NeurIPS 2023 Deep Span Representations for Named Entity Recognition ACL 2023 Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse AAAI 2023 Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions IJCAI 2023 Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset ACML 2023 Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video AAAI 2023