Papers
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
Yi Liu, Ke Sun, Bei Jiang et al.
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
Eshaan Nichani, Yu Bai, Jason Lee
If Influence Functions are the Answer, Then What is the Question?
Juhan Bae, Nathan Ng, Alston Lo et al.
IKEA-Manual: Seeing Shape Assembly Step by Step
Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao et al.
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Christos Thrampoulidis, Ganesh Ramachandra Kini, Vala Vakilian et al.
IMED-RL: Regret optimal learning of ergodic Markov decision processes
Fabien Pesquerel, Odalric-Ambrym Maillard
Imitating Past Successes can be Very Suboptimal
Benjamin Eysenbach, Soumith Udatha, Ruslan Salakhutdinov et al.
IM-Loss: Information Maximization Loss for Spiking Neural Networks
Yufei Guo, Yuanpei Chen, Liwen Zhang et al.
Implications of Model Indeterminacy for Explanations of Automated Decisions
Marc-Etienne Brunet, Ashton Anderson, Richard S. Zemel
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
Zhiyuan Li, Tianhao Wang, Jason Lee et al.
Implicit Neural Representations with Levels-of-Experts
Zekun Hao, Arun Mallya, Serge Belongie et al.
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions
Courtney Paquette, Elliot Paquette, Ben Adlam et al.
Implicit Warping for Animation with Image Sets
Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Improved Algorithms for Neural Active Learning
Yikun Ban, Yuheng Zhang, Hanghang Tong et al.
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen, Harinath Garudadri, Bhaskar D Rao
Improved Coresets for Euclidean $k$-Means
Vincent Cohen-Addad, Kasper Green Larsen, David Saulpic et al.
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
Sergey Denisov, H. Brendan McMahan, John Rush et al.
Improved Feature Distillation via Projector Ensemble
Yudong Chen, Sen Wang, Jiajun Liu et al.
Improved Fine-Tuning by Better Leveraging Pre-Training Data
Ziquan Liu, Yi Xu, Yuanhong Xu et al.
Improved Imaging by Invex Regularizers with Global Optima Guarantees
Samuel Pinilla, Tingting Mu, Neil Bourne et al.
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
Yeoneung Kim, Insoon Yang, Kwang-Sung Jun
Improved techniques for deterministic l2 robustness
Sahil Singla, Soheil Feizi
Improved Utility Analysis of Private CountSketch
Rasmus Pagh, Mikkel Thorup
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator
Zifan Shi, Yinghao Xu, Yujun Shen et al.