Papers
11,951 papers found
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
Lixu Wang, Shichao Xu, Ruiqi Xu et al.
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo-Lopes, Yann Dauphin, Ekin Dogus Cubuk
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Chen Liang, Haoming Jiang, Simiao Zuo et al.
Normalization of Language Embeddings for Cross-Lingual Alignment
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh et al.
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION
Qu Tang, Xiangyu Zhu, Zhen Lei et al.
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan, Yanchao Yang, Kaichun Mo et al.
Objects in Semantic Topology
Shuo Yang, Peize Sun, Yi Jiang et al.
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen et al.
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov, Ashvin Nair, Sergey Levine
Offline Reinforcement Learning with Value-based Episodic Memory
Xiaoteng Ma, Yiqin Yang, Hao Hu et al.
Omni-Dimensional Dynamic Convolution
Chao Li, Aojun Zhou, Anbang Yao
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang, Guodong Long, Lu Liu et al.
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen, Wei-Lun Chao
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tennenholtz, Assaf Hallak, Gal Dalal et al.
On Distributed Adaptive Optimization with Gradient Compression
Xiaoyun Li, Belhal Karimi, Ping Li
One After Another: Learning Incremental Skills for a Changing World
Nur Muhammad Mahi Shafiullah, Lerrel Pinto
On Evaluation Metrics for Graph Generative Models
Rylee Thompson, Boris Knyazev, Elahe Ghalebi et al.
On feature learning in neural networks with global convergence guarantees
Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
On Improving Adversarial Transferability of Vision Transformers
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan et al.
On Incorporating Inductive Biases into VAEs
Ning Miao, Emile Mathieu, Siddharth N et al.
Online Ad Hoc Teamwork under Partial Observability
Pengjie Gu, Mengchen Zhao, Jianye Hao et al.
Online Adversarial Attacks
Andjela Mladenovic, Joey Bose, Hugo Berard et al.
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyunseo Koh, Dahyun Kim, Jung-Woo Ha et al.
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon, Divyam Madaan, Eunho Yang et al.
Online Facility Location with Predictions
Shaofeng H.-C. Jiang, Erzhi Liu, You Lyu et al.