Poster Papers
24,624 papers found • Page 396 of 493
Conference
Interactive Continual Learning: Fast and Slow Thinking
Biqing Qi, Xinquan Chen, Junqi Gao et al.
Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks
lingzhuang meng, Mingwen Shao, Yuanjian Qiao et al.
InterFusion: Text-Driven Generation of 3D Human-Object Interaction
Sisi Dai, Wenhao Li, Haowen Sun et al.
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion
Jihyun Lee, Shunsuke Saito, Giljoo Nam et al.
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
Yongwei Nie, Hao Huang, Chengjiang Long et al.
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
Zhe Huang, Xiaowei Yu, Dajiang Zhu et al.
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
Yi Wang, Kunchang Li, Xinhao Li et al.
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Zhe Chen, Jiannan Wu, Wenhai Wang et al.
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
Jiawei Sun, Kailai Li, Ruoxin Chen et al.
Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification
Martin Mihelich, François Castagnos, Charles Dognin
Interpretability-Guided Test-Time Adversarial Defense
Akshay Ravindra Kulkarni, Tsui-Wei Weng
Interpretability Illusions in the Generalization of Simplified Models
Dan Friedman, Andrew Lampinen, Lucas Dixon et al.
Interpretable Deep Clustering for Tabular Data
Jonathan Svirsky, Ofir Lindenbaum
Interpretable Diffusion via Information Decomposition
Xianghao Kong, Ollie Liu, Han Li et al.
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Alessandro Achille, Greg Ver Steeg, Tian Yu Liu et al.
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke, marc lelarge
Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction
Liu Xiaoyi, Duxin Chen, Wenjia Wei et al.
Interpreting and Improving Diffusion Models from an Optimization Perspective
Frank Permenter, Chenyang Yuan
Interpreting and Improving Large Language Models in Arithmetic Calculation
Wei Zhang, Wan Chaoqun, Yonggang Zhang et al.
Interpreting CLIP's Image Representation via Text-Based Decomposition
Yossi Gandelsman, Alexei Efros, Jacob Steinhardt
Interpreting Equivariant Representations
Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen
Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
Xiaofan Bai, Chaoxiang He, Xiaojing Ma et al.
Intersectional Unfairness Discovery
Gezheng Xu, Qi CHEN, Charles X. Ling et al.
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo, yiqing li, Susan Wei et al.
Inter-X: Towards Versatile Human-Human Interaction Analysis
Liang Xu, Xintao Lv, Yichao Yan et al.
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding
jiha jang, Hoigi Seo, Se Young Chun
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
Vivek Gopalakrishnan, Neel Dey, Polina Golland
Intriguing Properties of Data Attribution on Diffusion Models
Xiaosen Zheng, Tianyu Pang, Chao Du et al.
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
Takami Sato, Justin Yue, Nanze Chen et al.
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination
Xi Chen, Sida Peng, Dongchen Yang et al.
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing
Shaofei Wang, Bozidar Antic, Andreas Geiger et al.
Intrinsic Image Diffusion for Indoor Single-view Material Estimation
Peter Kocsis, Vincent Sitzmann, Matthias Nießner
Intrinsic Single-Image HDR Reconstruction
Sebastian Dille, Chris Careaga, Yagiz Aksoy
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens
In value-based deep reinforcement learning, a pruned network is a good network
Johan Obando Ceron, Aaron Courville, Pablo Samuel Castro
Invariant Risk Minimization Is A Total Variation Model
Zhao-Rong Lai, Weiwen Wang
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields
Haoyuan Wang, Wenbo Hu, Lei Zhu et al.
Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
Aaron Fisher
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Peyman Milanfar, Mauricio Delbracio
Inversion-Free Image Editing with Language-Guided Diffusion Models
Sihan Xu, Yidong Huang, Jiayi Pan et al.
Invertible Neural Warp for NeRF
Shin-Fang Chng, Ravi Garg, Hemanth Saratchandran et al.
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
Jie Xu, Yazhou Ren, Xiaolong Wang et al.
Investigating Style Similarity in Diffusion Models
Gowthami Somepalli, Anubhav Anubhav, Kamal Gupta et al.
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue, Eric Gan, Jiayi Ni et al.
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Han Fang, Zhihao Song, Paul Weng et al.
INViTE: INterpret and Control Vision-Language Models with Text Explanations
Haozhe Chen, Junfeng Yang, Carl Vondrick et al.
I/O Complexity of Attention, or How Optimal is FlashAttention?
Barna Saha, Christopher Ye
I-PHYRE: Interactive Physical Reasoning
Shiqian Li, Kewen Wu, Chi Zhang et al.
IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation
Mengshun Hu, Kui Jiang, Zhihang Zhong et al.