Papers
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
Changho Shin, Jitian Zhao, Sonia Cromp et al.
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
Zifan Wang, Yi Shen, Michael M. Zavlanos et al.
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng, Alexandre H. Thiery, Harold Soh
Out-Of-Distribution Detection with Diversification (Provably)
Haiyun Yao, Zongbo Han, Huazhu Fu et al.
Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms
Alex Elenter, Spyros Angelopoulos, Christoph Dürr et al.
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
Jeremias Traub, Till J. Bungert, Carsten T. Lüth et al.
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
Andrew Wagenmaker, Kevin Huang, Liyiming Ke et al.
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev, Gal Vardi, Nathan Srebro
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun et al.
OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking
Haiji Liang, Ruize Han
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
Shengjie Niu, Lifan Lin, Jian Huang et al.
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning
Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing
OxonFair: A Flexible Toolkit for Algorithmic Fairness
Eoin Delaney, Zihao Fu, Sandra Wachter et al.
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
Qi Wang, Pu Ren, Hao Zhou et al.
PAC-Bayes-Chernoff bounds for unbounded losses
Ioar Casado, Luis A. Ortega, Aritz Pérez et al.
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni, Shan Zhang, Piotr Koniusz
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
Hanqing Zhu, Wenyan Cong, Guojin Chen et al.
PaCE: Parsimonious Concept Engineering for Large Language Models
Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan et al.
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition
Jinghui Lu, Ziwei Yang, Yanjie Wang et al.
PageRank Bandits for Link Prediction
Yikun Ban, Jiaru Zou, Zihao Li et al.
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao et al.
Paloma: A Benchmark for Evaluating Language Model Fit
Ian Magnusson, Akshita Bhagia, Valentin Hofmann et al.
Panacea: Pareto Alignment via Preference Adaptation for LLMs
Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang et al.
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
Daizong Liu, Mingyu Yang, Xiaoye Qu et al.
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining
Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari et al.