Poster Papers
24,624 papers found • Page 116 of 493
Conference
Generating Physically Stable and Buildable Brick Structures from Text
Ava Pun, Kangle Deng, Ruixuan Liu et al.
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Jimeng Sun, Shubhendu Trivedi, Zhen Lin
Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension
Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo et al.
Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
Yang Li, Lvda Chen, Haonan Wang et al.
Generation from Noisy Examples
Ananth Raman, Vinod Raman
Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model
Daehee Park, Monu Surana, Pranav Desai et al.
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia et al.
Generative Adversarial Diffusion
U-Chae Jun, Jaeeun Ko, Jiwoo Kang
Generative Adversarial Ranking Nets
Yinghua Yao, Yuangang Pan, Jing Li et al.
Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction
Shu-wen Yang, Byeonggeun Kim, Kuan Po Huang et al.
Generative Caching for Structurally Similar Prompts and Responses
Sarthak Chakraborty, Suman Nath, Xuchao Zhang et al.
Generative Classifiers Avoid Shortcut Solutions
Alexander Li, Ananya Kumar, Deepak Pathak
Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting
Ruyi An, haicheng huang, Huangjie Zheng et al.
Generative Data Mining with Longtail-Guided Diffusion
David Hayden, Mao Ye, Timur Garipov et al.
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
Davide Straziota, Elizaveta Demyanenko, Carlo Baldassi et al.
Generative Flows on Synthetic Pathway for Drug Design
Seonghwan Seo, Minsu Kim, Tony Shen et al.
Generative Gaussian Splatting for Unbounded 3D City Generation
Haozhe Xie, Zhaoxi Chen, Fangzhou Hong et al.
Generative Gaussian Splatting: Generating 3D Scenes with Video Diffusion Priors
Katja Schwarz, Norman Müller, Peter Kontschieder
Generative Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma et al.
Generative Hard Example Augmentation for Semantic Point Cloud Segmentation
Qi Zhang, Jibin Peng, Zhao Huang et al.
Generative Image Layer Decomposition with Visual Effects
Jinrui Yang, Qing Liu, Yijun Li et al.
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Xiaojuan Wang, Boyang Zhou, Brian Curless et al.
Generative Inbetweening through Frame-wise Conditions-Driven Video Generation
Tianyi Zhu, Dongwei Ren, Qilong Wang et al.
Generative Intervention Models for Causal Perturbation Modeling
Nora Schneider, Lars Lorch, Niki Kilbertus et al.
Generative Map Priors for Collaborative BEV Semantic Segmentation
Jiahui Fu, Yue Gong, Luting Wang et al.
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
Aditya Sengar, Ali Hariri, Daniel Probst et al.
Generative Modeling of Shape-Dependent Self-Contact Human Poses
Takehiko Ohkawa, Jihyun Lee, Shunsuke Saito et al.
Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning
Yang Li, Jiale Ma, Yebin Yang et al.
Generative Model Inversion Through the Lens of the Manifold Hypothesis
Xiong Peng, Bo Han, Fengfei Yu et al.
Generative Monoculture in Large Language Models
Fan Wu, Emily Black, Varun Chandrasekaran
Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens
Kaihang Pan, Wang Lin, Zhongqi Yue et al.
Generative Perception of Shape and Material from Differential Motion
Xinran Han, Ko Nishino, Todd Zickler
Generative Photomontage
Sean J. Liu, Nupur Kumari, Ariel Shamir et al.
Generative Point Cloud Registration
Haobo Jiang, Jin Xie, jian Yang et al.
Generative Pre-trained Autoregressive Diffusion Transformer
Yuan Zhang, Jiacheng Jiang, Guoqing Ma et al.
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin SU, Liang Wang et al.
Generative RLHF-V: Learning Principles from Multi-modal Human Preference
Jiayi Zhou, Jiaming Ji, Boyuan Chen et al.
Generative Sparse-View Gaussian Splatting
Hanyang Kong, Xingyi Yang, Xinchao Wang
Generative Verifiers: Reward Modeling as Next-Token Prediction
Lunjun Zhang, Arian Hosseini, Hritik Bansal et al.
Generative Video Bi-flow
Chen Liu, Tobias Ritschel
Generative Video Propagation
Shaoteng Liu, Tianyu Wang, Jui-Hsien Wang et al.
Generative Zero-Shot Composed Image Retrieval
Lan Wang, Wei Ao, Vishnu Naresh Boddeti et al.
Generative Zoo
Tomasz Niewiadomski, Anastasios Yiannakidis, Hanz Cuevas Velasquez et al.
Generator Matching: Generative modeling with arbitrary Markov processes
Peter Holderrieth, Marton Havasi, Jason Yim et al.
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
Marc Brooks, Gabriel Durham, Kihyuk Hong et al.
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders
Gongxu Luo, Haoyue Dai, Longkang Li et al.
Generic Event Boundary Detection via Denoising Diffusion
Jaejun Hwang, Dayoung Gong, Manjin Kim et al.
GenEx: Generating an Explorable World
TaiMing Lu, Tianmin Shu, Alan Yuille et al.
GenFlow3D: Generative Scene Flow Estimation and Prediction on Point Cloud Sequences
Hanlin Li, Wenming Weng, Yueyi Zhang et al.
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning
Kelin Yu, Sheng Zhang, Harshit Soora et al.