Poster Papers
24,624 papers found • Page 115 of 493
Conference
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
Xinyi Wang, Antonis Antoniades, Yanai Elazar et al.
Generalization vs Specialization under Concept Shift
Alex Nguyen, David Schwab, Vudtiwat Ngampruetikorn
Generalized additive models via direct optimization of regularized decision stump forests
Magzhan Gabidolla, Miguel Carreira-Perpinan
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution
Du Chen, Liyi Chen, Zhengqiang ZHANG et al.
Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
Wei Wu, Yuxing Lu, Zhengrui Guo et al.
Generalized Behavior Learning from Diverse Demonstrations
Varshith Sreeramdass, Rohan Paleja, Letian Chen et al.
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
Wei Feng, Zongyuan Ge
Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
Duo Liu, Zhiquan Tan, Linglan Zhao et al.
Generalized Consistency Trajectory Models for Image Manipulation
Beomsu Kim, Jaemin Kim, Jeongsol Kim et al.
Generalized Contrastive Learning for Universal Multimodal Retrieval
Jungsoo Lee, Janghoon Cho, Hyojin Park et al.
Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
Xihong Yang, Siwei Wang, Jiaqi Jin et al.
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
Boyong He, Yuxiang Ji, Qianwen Ye et al.
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
Zhaochong An, Guolei Sun, Yun Liu et al.
Generalized Few-Shot Point Cloud Segmentation via LLM-Assisted Hyper-Relation Matching
Zhaoyang Li, Yuan Wang, Guoxin Xiong et al.
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
Changhao Peng
Generalized Interpolating Discrete Diffusion
Dimitri von Rütte, Janis Fluri, Yuhui Ding et al.
Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
Yu-Jie Zhang, Sheng-An Xu, Peng Zhao et al.
Generalized Principal-Agent Problem with a Learning Agent
Tao Lin, Yiling Chen
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
Brayan Monroy, Jorge Bacca, Julián Tachella
Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level
Siqi Zhang, Xing Huang, Feihu Huang
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
Chongjie Si, Zhiyi Shi, Xuehui Wang et al.
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Lars van der Laan, Ahmed Alaa
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation
Libiao Chen, Dong Nie, Junjun Pan et al.
Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments
Baohong Li, Yingrong Wang, Anpeng Wu et al.
Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning
Zhiyuan Yan, Yandan Zhao, Shen Chen et al.
Generalizing Experience for Language Agents with Hierarchical MetaFlows
Shengda Fan, Xin Cong, Zhong Zhang et al.
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
Simon Park, Abhishek Panigrahi, Yun Cheng et al.
Generalizing Reasoning Problems to Longer Lengths
Changnan Xiao, Bing Liu
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
Junxi Chen, Liang Li, Yunbin Tu et al.
Generalizing Verifiable Instruction Following
Valentina Pyatkin, Saumya Malik, Victoria Graf et al.
Generalizing Weisfeiler-Lehman Kernels to Subgraphs
Dongkwan Kim, Alice Oh
Generalizing while preserving monotonicity in comparison-based preference learning models
Julien Fageot, Peva Blanchard, Gilles Bareilles et al.
General-Reasoner: Advancing LLM Reasoning Across All Domains
Xueguang Ma, Qian Liu, Dongfu Jiang et al.
General Scene Adaptation for Vision-and-Language Navigation
Haodong Hong, Yanyuan Qiao, Sen Wang et al.
Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
Tsung-Han (Patrick) Wu, Heekyung Lee, Jiaxin Ge et al.
Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery
Xiao Liu, Nan Pu, Haiyang Zheng et al.
Generate, Transduct, Adapt: Iterative Transduction with VLMs
Oindrila Saha, Logan Lawrence, Grant Horn et al.
Generating 3D-Consistent Videos from Unposed Internet Photos
Gene Chou, Kai Zhang, Sai Bi et al.
Generating and Checking DNN Verification Proofs
Hai Duong, ThanhVu Nguyen, Matthew Dwyer
Generating CAD Code with Vision-Language Models for 3D Designs
Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi et al.
Generating Creative Chess Puzzles
Xidong Feng, Vivek Veeriah, Marcus Chiam et al.
Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks
Bhishma Dedhia, David Bourgin, Krishna Kumar Singh et al.
Generating Freeform Endoskeletal Robots
Muhan Li, Lingji Kong, Sam Kriegman
Generating Graphs via Spectral Diffusion
GIORGIA MINELLO, Alessandro Bicciato, Luca Rossi et al.
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang, Michael Backes, Xiao Zhang
Generating Likely Counterfactuals Using Sum-Product Networks
Jiří Němeček, Tomáš Pevný, Jakub Marecek
Generating Multi-Image Synthetic Data for Text-to-Image Customization
Nupur Kumari, Xi Yin, Jun-Yan Zhu et al.
Generating Multimodal Driving Scenes via Next-Scene Prediction
Yanhao Wu, Haoyang Zhang, Tianwei Lin et al.
Generating Physical Dynamics under Priors
Zihan Zhou, Xiaoxue Wang, Tianshu Yu
Generating Physically Sound Designs from Text and a Set of Physical Constraints
Gregory Barber, Todd Henry, Mulugeta Haile