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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID CVPR 2024 Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws ICML 2024 Harvesting Idle Memory for Application-managed Soft State with Midas NSDI 2024 Harvesting Memory-bound CPU Stall Cycles in Software with MSH OSDI 2024 HashReID: Dynamic Network With Binary Codes for Efficient Person Re-Identification WACV 2024 HateModerate: Testing Hate Speech Detectors against Content Moderation Policies NAACL 2024 Hate Personified: Investigating the role of LLMs in content moderation EMNLP 2024 Having Beer after Prayer? Measuring Cultural Bias in Large Language Models ACL 2024 HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues EMNLP 2024 Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification AAAI 2024 HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits ACL 2024 HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM NAACL 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 Here’s a Free Lunch: Sanitizing Backdoored Models with Model Merge ACL 2024 Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024 Heterogeneous Medical Data Integration with Multi-Source StyleGAN MIDL 2024 Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate ICLR 2024 HexGen: Generative Inference of Large Language Model over Heterogeneous Environment ICML 2024 HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers ACL 2024 Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning ICLR 2024 Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection ACL 2024 Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs ICLR 2024 Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution ICML 2024 Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching NeurIPS 2024 Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation RSS 2024