Papers
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li, Xujie Si
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
Jian Liang, Chenfei Wu, Xiaowei Hu et al.
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
Zhiyang Chen, Yousong Zhu, Zhaowen Li et al.
Object-Category Aware Reinforcement Learning
Qi Yi, Rui Zhang, shaohui peng et al.
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang, Tom Griffiths, Sergey Levine
Object Scene Representation Transformer
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran et al.
OccGen: Selection of Real-world Multilingual Parallel Data Balanced in Gender within Occupations
Marta Costa-jussà, Christine Basta, Oriol Domingo et al.
Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression
Jason Yecheng Ma, Jason Yan, Dinesh Jayaraman et al.
Offline Multi-Agent Reinforcement Learning with Knowledge Distillation
Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin et al.
Off-Policy Evaluation for Action-Dependent Non-stationary Environments
Yash Chandak, Shiv Shankar, Nathaniel Bastian et al.
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao, Zhengling Qi, Xiaoke Zhang
Off-Policy Evaluation with Deficient Support Using Side Information
Nicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli et al.
Off-Policy Evaluation with Policy-Dependent Optimization Response
Wenshuo Guo, Michael I. Jordan, Angela Zhou
Off-Team Learning
Brandon Cui, Hengyuan Hu, Andrei Lupu et al.
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds
Ziyang Song, Bo Yang
Okapi: Generalising Better by Making Statistical Matches Match
Myles Bartlett, Sara Romiti, Viktoriia Sharmanska et al.
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
AJAY JAISWAL, Peihao Wang, Tianlong Chen et al.
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan et al.
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks
Junke Wang, Dongdong Chen, Zuxuan Wu et al.
On A Mallows-type Model For (Ranked) Choices
Yifan Feng, Yuxuan Tang
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja, Anna Kuzina, Tomasz Trzcinski et al.
On Batch Teaching with Sample Complexity Bounded by VCD
Farnam Mansouri, Hans Simon, Adish Singla et al.
On Computing Probabilistic Explanations for Decision Trees
Marcelo Arenas, Pablo Barceló, Miguel Romero Orth et al.
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan, Ping Li
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Biraj Dahal, Alexander Havrilla, Minshuo Chen et al.