Papers
11,951 papers found
Bi-level Probabilistic Feature Learning for Deformable Image Registration
Risheng Liu, Zi Li, Yuxi Zhang et al.
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
Hyungjun Kim, Kyungsu Kim, Jinseok Kim et al.
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks
Timothy Tadros, Giri Krishnan, Ramyaa Ramyaa et al.
Black-Box Adversarial Attack with Transferable Model-based Embedding
Zhichao Huang, Tong Zhang
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning
Ali Mousavi, Lihong Li, Qiang Liu et al.
BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget
Jack Turner, Elliot J. Crowley, Michael O'Boyle et al.
Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks
Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani
BREAKING CERTIFIED DEFENSES: SEMANTIC ADVERSARIAL EXAMPLES WITH SPOOFED ROBUSTNESS CERTIFICATES
Amin Ghiasi, Ali Shafahi, Tom Goldstein
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Pu Zhao, Pin-Yu Chen, Payel Das et al.
B-Spline CNNs on Lie groups
Erik J Bekkers
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
Mengtian Li, Ersin Yumer, Deva Ramanan
Can gradient clipping mitigate label noise?
Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi et al.
Capsules with Inverted Dot-Product Attention Routing
Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh et al.
CAQL: Continuous Action Q-Learning
Moonkyung Ryu, Yinlam Chow, Ross Anderson et al.
CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning
Rohit Girdhar, Deva Ramanan
Causal Discovery with Reinforcement Learning
Shengyu Zhu, Ignavier Ng, Zhitang Chen
Certified Defenses for Adversarial Patches
Ping-yeh Chiang*, Renkun Ni*, Ahmed Abdelkader et al.
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing
Jinyuan Jia, Xiaoyu Cao, Binghui Wang et al.
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh et al.
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
Yiyang Zhang, Feng Liu, Zhen Fang et al.
Classification-Based Anomaly Detection for General Data
Liron Bergman, Yedid Hoshen
CLEVRER: Collision Events for Video Representation and Reasoning
Kexin Yi*, Chuang Gan*, Yunzhu Li et al.
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang, Alireza Nakhaei, David Isele et al.
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data
David W. Romero, Mark Hoogendoorn