Papers
Hypergraph Propagation and Community Selection for Objects Retrieval
Guoyuan An, Yuchi Huo, Sung-eui Yoon
Hyperparameter Optimization Is Deceiving Us, and How to Stop It
A. Feder Cooper, Yucheng Lu, Jessica Forde et al.
Hyperparameter Tuning is All You Need for LISTA
Xiaohan Chen, Jialin Liu, Zhangyang Wang et al.
HyperSPNs: Compact and Expressive Probabilistic Circuits
Andy Shih, Dorsa Sadigh, Stefano Ermon
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan, Rameswar Panda, Yifan Jiang et al.
Identifiability in inverse reinforcement learning
Haoyang Cao, Samuel Cohen, Lukasz Szpruch
Identifiable Generative models for Missing Not at Random Data Imputation
Chao Ma, Cheng Zhang
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases
Jeffrey Adams, Niels Hansen, Kun Zhang
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
Björn Haddenhorst, Viktor Bengs, Eyke Hüllermeier
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
David Madras, Richard S. Zemel
Identity testing for Mallows model
Róbert Busa-Fekete, Dimitris Fotakis, Balazs Szorenyi et al.
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Shifeng Zhang, Ning Kang, Tom Ryder et al.
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser, Robin Rombach, Andreas Blattmann et al.
Image Generation using Continuous Filter Atoms
Ze Wang, Seunghyun Hwang, Zichen Miao et al.
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang, Hua Wang, Weijie Su
Imitation with Neural Density Models
Kuno Kim, Akshat Jindal, Yang Song et al.
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
Scott Pesme, Loucas Pillaud-Vivien, Nicolas Flammarion
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
Desi R Ivanova, Adam Foster, Steven Kleinegesse et al.
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain et al.
Implicit Generative Copulas
Tim Janke, Mohamed Ghanmi, Florian Steinke
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert, Pasquale Minervini, Luca Franceschi
Implicit Regularization in Matrix Sensing via Mirror Descent
Fan Wu, Patrick Rebeschini
Implicit Semantic Response Alignment for Partial Domain Adaptation
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
Jiangyuan Li, Thanh Nguyen, Chinmay Hegde et al.