Papers
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku, Sahana Upadhya, Narges Razavian
Interpolation can hurt robust generalization even when there is no noise
Konstantin Donhauser, Alexandru Tifrea, Michael Aerni et al.
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessi, Eugene Kharitonov, Baroni Marco
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
Wen Shen, Qihan Ren, Dongrui Liu et al.
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
Matej Zečević, Devendra Dhami, Athresh Karanam et al.
Intriguing Properties of Contrastive Losses
Ting Chen, Calvin Luo, Lala Li
Intriguing Properties of Vision Transformers
Muhammad Muzammal Naseer, Kanchana Ranasinghe, Salman H Khan et al.
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Tolga Birdal, Aaron Lou, Leonidas Guibas et al.
Introspective Distillation for Robust Question Answering
Yulei Niu, Hanwang Zhang
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang et al.
Invariant Causal Imitation Learning for Generalizable Policies
Ioana Bica, Daniel Jarrett, Mihaela van der Schaar
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Matthias Schultheis, Dominik Straub, Constantin A Rothkopf
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula, Georgios Smyrnis, Matt Jordan et al.
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
Gregory Dexter, Kevin Bello, Jean Honorio
Inverse-Weighted Survival Games
Xintian Han, Mark Goldstein, Aahlad Puli et al.
Invertible DenseNets with Concatenated LipSwish
Yura Perugachi-Diaz, Jakub Tomczak, Sandjai Bhulai
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
JAEHOON LEE, Jihyeon Hyeong, Jinsung Jeon et al.
IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg, Shuvam Chakraborty, Chris Cundy et al.
IRM—when it works and when it doesn't: A test case of natural language inference
Yana Dranker, He He, Yonatan Belinkov
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
Alexander Hoyle, Pranav Goel, Andrew Hian-Cheong et al.
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Tim Seyde, Igor Gilitschenski, Wilko Schwarting et al.
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
Iterative Amortized Policy Optimization
Joseph Marino, Alexandre Piche, Alessandro Davide Ialongo et al.
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz et al.
Iterative Connecting Probability Estimation for Networks
Yichen Qin, Linhan Yu, Yang Li