Papers
11,951 papers found
On the Role of Neural Collapse in Transfer Learning
Tomer Galanti, András György, Marcus Hutter
On the role of population heterogeneity in emergent communication
Mathieu Rita, Florian Strub, Jean-Bastien Grill et al.
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
Chu-Cheng Lin, Arya D. McCarthy
OntoProtein: Protein Pretraining With Gene Ontology Embedding
Ningyu Zhang, Zhen Bi, Xiaozhuan Liang et al.
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Sagar Vaze, Kai Han, Andrea Vedaldi et al.
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo et al.
Open-World Semi-Supervised Learning
Kaidi Cao, Maria Brbic, Jure Leskovec
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu, Wei Fang, Jianhao Ding et al.
Optimal Representations for Covariate Shift
Yangjun Ruan, Yann Dubois, Chris J. Maddison
Optimal Transport for Causal Discovery
Ruibo Tu, Kun Zhang, Hedvig Kjellstrom et al.
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
Hanyu Peng, Mingming Sun, Ping Li
Optimization and Adaptive Generalization of Three layer Neural Networks
Khashayar Gatmiry, Stefanie Jegelka, Jonathan Kelner
Optimization inspired Multi-Branch Equilibrium Models
Mingjie Li, Yisen Wang, Xingyu Xie et al.
Optimizer Amalgamation
Tianshu Huang, Tianlong Chen, Sijia Liu et al.
Optimizing Neural Networks with Gradient Lexicase Selection
Li Ding, Lee Spector
Orchestrated Value Mapping for Reinforcement Learning
Mehdi Fatemi, Arash Tavakoli
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
Aahlad Manas Puli, Lily H Zhang, Eric Karl Oermann et al.
Overcoming The Spectral Bias of Neural Value Approximation
Ge Yang, Anurag Ajay, Pulkit Agrawal
PAC-Bayes Information Bottleneck
Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu et al.
PAC Prediction Sets Under Covariate Shift
Sangdon Park, Edgar Dobriban, Insup Lee et al.
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
Benjamin Newman, Prafulla Kumar Choubey, Nazneen Rajani
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences
Euhyun Moon, Eric C Cyr
Pareto Policy Adaptation
Panagiotis Kyriakis, Jyotirmoy Deshmukh, Paul Bogdan
Pareto Policy Pool for Model-based Offline Reinforcement Learning
Yijun Yang, Jing Jiang, Tianyi Zhou et al.
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization
Xi Lin, Zhiyuan Yang, Qingfu Zhang