All Papers

34,598 papers found • Page 608 of 692

Out-of-Domain Generalization in Dynamical Systems Reconstruction

Niclas Göring, Florian Hess, Manuel Brenner et al.

ICML 2024arXiv:2402.18377
26
citations

Out-Of-Domain Unlabeled Data Improves Generalization

seyed amir hossein saberi, Amir Najafi, Alireza Heidari et al.

ICLR 2024spotlightarXiv:2310.00027
3
citations

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Benjamin Eyre, Elliot Creager, David Madras et al.

ICML 2024arXiv:2312.17463
3
citations

Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

AAAI 2024paperarXiv:2303.11611
12
citations

Out-of-Variable Generalisation for Discriminative Models

Siyuan Guo, Jonas Wildberger, Bernhard Schoelkopf

ICLR 2024
6
citations

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Jinyi Liu, Zhi Wang, Yan Zheng et al.

AAAI 2024paperarXiv:2312.12145
13
citations

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

Yunfeng Fan, Wenchao Xu, Haozhao Wang et al.

ECCV 2024arXiv:2401.00403
7
citations

Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Chun-Yin Huang, Kartik Srinivas, Xin Zhang et al.

ICML 2024arXiv:2405.11525
19
citations

Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks

Cheeun Hong, Kyoung Mu Lee

ECCV 2024arXiv:2307.13337
3
citations

Overcoming Generic Knowledge Loss with Selective Parameter Update

Wenxuan Zhang, Paul Janson, Rahaf Aljundi et al.

CVPR 2024arXiv:2308.12462
23
citations

Overcoming Saturation in Density Ratio Estimation by Iterated Regularization

Lukas Gruber, Markus Holzleitner, Johannes Lehner et al.

ICML 2024arXiv:2402.13891
5
citations

Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks

Asterios Tsiourvas, Georgia Perakis

ICML 2024

Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization

Yuhang Zang, Hanlin Goh, Joshua Susskind et al.

ICLR 2024arXiv:2401.15914
16
citations

Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning

Michal Nauman, Michał Bortkiewicz, Piotr Milos et al.

ICML 2024arXiv:2403.00514
41
citations

Overload: Latency Attacks on Object Detection for Edge Devices

Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung et al.

CVPR 2024arXiv:2304.05370
19
citations

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation

Ganlong Zhao, Guanbin Li, Weikai Chen et al.

CVPR 2024arXiv:2403.17334
15
citations

Overthinking the Truth: Understanding how Language Models Process False Demonstrations

Danny Halawi, Jean-Stanislas Denain, Jacob Steinhardt

ICLR 2024spotlightarXiv:2307.09476
73
citations

OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation

Xiongwei Wu, Sicheng Yu, Ee-Peng Lim et al.

CVPR 2024arXiv:2404.01409
5
citations

OVMR: Open-Vocabulary Recognition with Multi-Modal References

Zehong Ma, Shiliang Zhang, Longhui Wei et al.

CVPR 2024arXiv:2406.04675
5
citations

OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning

Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu

ICLR 2024arXiv:2402.04129
19
citations

OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks

JINGYANG XIANG, Zuohui Chen, Siqi Li et al.

ECCV 2024arXiv:2407.05257
5
citations

OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation

Zhenyu Wang, Ya-Li Li, TAICHI LIU et al.

ECCV 2024arXiv:2403.19580
19
citations

OWL: A Large Language Model for IT Operations

Hongcheng Guo, Jian Yang, Jiaheng Liu et al.

ICLR 2024arXiv:2309.09298
58
citations

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models

Changhun Lee, Jungyu Jin, Taesu Kim et al.

AAAI 2024paperarXiv:2306.02272
105
citations

OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning

Bin Lu, Ze Zhao, Luyu Han et al.

ICML 2024oralarXiv:2405.07233
7
citations

P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering

Chuyu Zhang, Hui Ren, Xuming He

ICLR 2024arXiv:2401.09266
12
citations

P2Seg: Pointly-supervised Segmentation via Mutual Distillation

Zipeng Wang, Xuehui Yu, Xumeng Han et al.

ICLR 2024arXiv:2401.09709
1
citations

PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning

Tianmeng Hu, Biao Luo

AAAI 2024paper
6
citations

PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs

Deividas Eringis, John Leth, Zheng-Hua Tan et al.

AAAI 2024paperarXiv:2312.09793
4
citations

PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models

Deividas Eringis, john leth, Zheng-Hua Tan et al.

ICML 2024

PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning

Jaejun Lee, Minsung Hwang, Joyce Whang

ICML 2024arXiv:2405.06418
2
citations

PACE: Pose Annotations in Cluttered Environments

Yang You, kai xiong, Zhening Yang et al.

ECCV 2024
1
citations

PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios

Jingbo Wang, Zhengyi Luo, Ye Yuan et al.

CVPR 2024arXiv:2404.19722
23
citations

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images

Jinsung Jeon, Hyundong Jin, Jonghyun Choi et al.

ICLR 2024arXiv:2402.12721
4
citations

PAC Prediction Sets Under Label Shift

Wenwen Si, Sangdon Park, Insup Lee et al.

ICLR 2024arXiv:2310.12964
13
citations

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks

Lihua Jing, Rui Wang, Wenqi Ren et al.

CVPR 2024arXiv:2404.16452
41
citations

PAE: Reinforcement Learning from External Knowledge for Efficient Exploration

Zhe Wu, Haofei Lu, Junliang Xing et al.

ICLR 2024

PAGER: Accurate Failure Characterization in Deep Regression Models

Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi et al.

ICML 2024

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models

Xianfang Zeng, Xin Chen, Zhongqi Qi et al.

CVPR 2024arXiv:2312.13913
113
citations

Painterly Image Harmonization by Learning from Painterly Objects

Li Niu, Junyan Cao, Yan Hong et al.

AAAI 2024paperarXiv:2312.10263
1
citations

PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation

Jianhui Yu, Hao Zhu, Liming Jiang et al.

AAAI 2024paperarXiv:2310.09458
6
citations

Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering

Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll

CVPR 2024arXiv:2312.11360
78
citations

PairAug: What Can Augmented Image-Text Pairs Do for Radiology?

Yutong Xie, Qi Chen, Sinuo Wang et al.

CVPR 2024arXiv:2404.04960
12
citations

PairDETR : Joint Detection and Association of Human Bodies and Faces

Ammar Ali, Georgii Gaikov, Denis Rybalchenko et al.

CVPR 2024

PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor

Vidit Goel, Elia Peruzzo, Yifan Jiang et al.

CVPR 2024
18
citations

PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments

rixin zhou, Ding Xia, YI ZHANG et al.

ECCV 2024arXiv:2312.08704
7
citations

PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect

Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh et al.

ICML 2024arXiv:2406.03864
3
citations

Pairwise Alignment Improves Graph Domain Adaptation

Shikun Liu, Deyu Zou, Han Zhao et al.

ICML 2024spotlightarXiv:2403.01092
25
citations

Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution

Yuehan Zhang, Seungjun Lee, Angela Yao

ECCV 2024arXiv:2407.07302
3
citations

PALM: Predicting Actions through Language Models

Sanghwan Kim, Daoji Huang, Yongqin Xian et al.

ECCV 2024arXiv:2311.17944
23
citations