Papers
High-Performance Large-Scale Image Recognition Without Normalization
Andy Brock, Soham De, Samuel L Smith et al.
Homomorphic Sensing: Sparsity and Noise
Liangzu Peng, Boshi Wang, Manolis Tsakiris
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
Ines Chami, Albert Gu, Dat P Nguyen et al.
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
Jyotikrishna Dass, Rabi Mahapatra
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda M Gentzel, Purva Pruthi, David Jensen
How could Neural Networks understand Programs?
Dinglan Peng, Shuxin Zheng, Yatao Li et al.
How Do Adam and Training Strategies Help BNNs Optimization
Zechun Liu, Zhiqiang Shen, Shichao Li et al.
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation
Ali Akbari, Muhammad Awais, Manijeh Bashar et al.
How Framelets Enhance Graph Neural Networks
Xuebin Zheng, Bingxin Zhou, Junbin Gao et al.
How Important is the Train-Validation Split in Meta-Learning?
Yu Bai, Minshuo Chen, Pan Zhou et al.
How rotational invariance of common kernels prevents generalization in high dimensions
Konstantin Donhauser, Mingqi Wu, Fanny Yang
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
Zachary Izzo, Lexing Ying, James Zou
HyperHyperNetwork for the Design of Antenna Arrays
Shahar Lutati, Lior Wolf
Hyperparameter Selection for Imitation Learning
Léonard Hussenot, Marcin Andrychowicz, Damien Vincent et al.
I-BERT: Integer-only BERT Quantization
Sehoon Kim, Amir Gholami, Zhewei Yao et al.
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang, Steven W. Su, Shirui Pan et al.
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
Nadine Chang, Zhiding Yu, Yu-Xiong Wang et al.
Imitation by Predicting Observations
Andrew Jaegle, Yury Sulsky, Arun Ahuja et al.
Implicit Bias of Linear RNNs
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit et al.
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
Kieran A Murphy, Carlos Esteves, Varun Jampani et al.
Implicit rate-constrained optimization of non-decomposable objectives
Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter
Implicit Regularization in Tensor Factorization
Noam Razin, Asaf Maman, Nadav Cohen
Improved Algorithms for Agnostic Pool-based Active Classification
Julian Katz-Samuels, Jifan Zhang, Lalit Jain et al.
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
Kwang-Sung Jun, Lalit Jain, Blake Mason et al.
Improved Contrastive Divergence Training of Energy-Based Models
Yilun Du, Shuang Li, Joshua Tenenbaum et al.