Papers
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
Chunlin Tian, Zhan Shi, Zhijiang Guo et al.
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
Yuchen Zhuang, Haotian Sun, Yue Yu et al.
HydraViT: Stacking Heads for a Scalable ViT
Janek Haberer, Ali Hojjat, Olaf Landsiedel
Hyperbolic Embeddings of Supervised Models
Richard Nock, Ehsan Amid, Frank Nielsen et al.
HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
Yang Yang, Wendi Ren, Shuang Li
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
Jingen Qu, Yufei Chen, Xiaodong Yue et al.
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
Haizhou Du, Yijian Chen, Ryan Yang et al.
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
Yuxi Ren, Xin Xia, Yanzuo Lu et al.
Hypothesis Testing the Circuit Hypothesis in LLMs
Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret et al.
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla et al.
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
Yiwei Ma, Jiayi Ji, Ke Ye et al.
IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs
Patrick Tser Jern Kon, Jiachen Liu, Yiming Qiu et al.
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
Yuanyuan Wang, Biwei Huang, Wei Huang et al.
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
Ryan Welch, Jiaqi Zhang, Caroline Uhler
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram et al.
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
Subash Timilsina, Sagar Shrestha, Xiao Fu
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
Feng Xie, Zhen Yao, Lin Xie et al.
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees
Negin Musavi, Ziyao Guo, Geir Dullerud et al.
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
Min Zhao, Hongzhou Zhu, Chendong Xiang et al.
Identifying Causal Effects Under Functional Dependencies
Yizuo Chen, Adnan Darwiche
Identifying Equivalent Training Dynamics
William T. Redman, Juan Bello-Rivas, Maria Fonoberova et al.
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill et al.
Identifying General Mechanism Shifts in Linear Causal Representations
Tianyu Chen, Kevin Bello, Francesco Locatello et al.
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
Yuewen Sun, Biwei Huang, Yu Yao et al.
Identifying Selections for Unsupervised Subtask Discovery
Yiwen Qiu, Yujia Zheng, Kun Zhang