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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)

HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities CoNLL 2023 HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count NeurIPS 2023 HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs CoRL 2023 Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NeurIPS 2023 Holistic Adversarially Robust Pruning ICLR 2023 Holistic Adversarial Robustness of Deep Learning Models AAAI 2023 Holistic Evaluation of Text-to-Image Models NeurIPS 2023 Holistic Inter-Annotator Agreement and Corpus Coherence Estimation in a Large-scale Multilingual Annotation Campaign EMNLP 2023 Holistic Prediction on a Time-Evolving Attributed Graph ACL 2023 HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images CVPR 2023 HoloFusion: Towards Photo-realistic 3D Generative Modeling ICCV 2023 Holographic CCG Parsing ACL 2023 HomeRobot: Open-Vocabulary Mobile Manipulation CoRL 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers ICLR 2023 Homography Guided Temporal Fusion for Road Line and Marking Segmentation ICCV 2023 Homotopy-based training of NeuralODEs for accurate dynamics discovery NeurIPS 2023 HonestBait: Forward References for Attractive but Faithful Headline Generation ACL 2023 Honesty Is the Best Policy: Defining and Mitigating AI Deception NeurIPS 2023 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023 Honeycomb: Secure and Efficient GPU Executions via Static Validation OSDI 2023 Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. ACL 2023 “Honey, Tell Me What’s Wrong”, Global Explanation of Textual Discriminative Models through Cooperative Generation EMNLP 2023 HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics CVPR 2023 HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023 Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision EMNLP 2023