Poster Papers
24,624 papers found • Page 344 of 493
Conference
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo et al.
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
Zhengbo Wang, Jian Liang, Ran He et al.
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou et al.
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
Helen Qu, Sang Michael Xie
ConR: Contrastive Regularizer for Deep Imbalanced Regression
Mahsa Keramati, Lili Meng, R. Evans
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Shruthi Gowda, Bahram Zonooz, Elahe Arani
ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing
Jun-Kun Chen, Samuel Rota Bulò, Norman Müller et al.
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
Zaid Khan, Yun Fu
Consistency-guided Prompt Learning for Vision-Language Models
Shuvendu Roy, Ali Etemad
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
Zihan Ding, Chi Jin
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, WeiHsiang Liao et al.
Consistent 3D Line Mapping
Xulong Bai, Hainan Cui, Shuhan Shen
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior
Zike Wu, Pan Zhou, YI Xuanyu et al.
Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
Elvis Dohmatob
Consistent algorithms for multi-label classification with macro-at-$k$ metrics
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch et al.
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
Giannis Daras, Alexandros Dimakis, Constantinos Daskalakis
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
Vladimir Kostic, Karim Lounici, Prune Inzerilli et al.
Consistent Prompting for Rehearsal-Free Continual Learning
Zhanxin Gao, Jun Cen, Xiaobin Chang
Consistent Submodular Maximization
PAUL DUETTING, Federico Fusco, Silvio Lattanzi et al.
Consistent Video-to-Video Transfer Using Synthetic Dataset
Jiaxin Cheng, Tianjun Xiao, Tong He
ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
Jiayu Yang, Ziang Cheng, Yunfei Duan et al.
Constrained Decoding for Cross-lingual Label Projection
Duong Le, Yang Chen, Alan Ritter et al.
Constrained Ensemble Exploration for Unsupervised Skill Discovery
Chenjia Bai, Rushuai Yang, Qiaosheng Zhang et al.
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Haoyang Zheng, Hengrong Du, Qi Feng et al.
Constrained Layout Generation with Factor Graphs
Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng et al.
Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun, Sihong He, Fei Miao et al.
Constraint-Free Structure Learning with Smooth Acyclic Orientations
Riccardo Massidda, Francesco Landolfi, Martina Cinquini et al.
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
Duanyi YAO, Songze Li, Ye XUE et al.
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
Qinghe Ma, Jian Zhang, Lei Qi et al.
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
Jeeyung Kim, Ze Wang, Qiang Qiu
Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation
Guangrui Li
Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
Wenxi Lv, Qinliang Su, Hai Wan et al.
Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening
Yule Duan, Xiao Wu, Haoyu Deng et al.
Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization
Weihang Liu, Xue Xian Zheng, Jingyi Yu et al.
Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen et al.
ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis
Xiangjun Gao, Xiaoyu Li, Chaopeng Zhang et al.
Context-Aware Action Recognition: Introducing a Comprehensive Dataset for Behavior Contrast
Tatsuya Sasaki, Yoshiki Ito, Satoshi Kondo
Context-Aware Integration of Language and Visual References for Natural Language Tracking
Yanyan Shao, Shuting He, Qi Ye et al.
Context-Aware Meta-Learning
Christopher Fifty, Dennis Duan, Ronald Junkins et al.
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
Yun Li, Zhe Liu, Hang Chen et al.
Context Diffusion: In-Context Aware Image Generation
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey et al.
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
Leo Klarner, Tim G. J. Rudner, Garrett Morris et al.
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation
Zhenliang Ni, Xinghao Chen, Yingjie Zhai et al.
Context-Guided Spatio-Temporal Video Grounding
Xin Gu, Heng Fan, Yan Huang et al.
Context is Environment
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz et al.
Contextrast: Contextual Contrastive Learning for Semantic Segmentation
Changki Sung, Wanhee Kim, Jungho An et al.
ContextRef: Evaluating Referenceless Metrics for Image Description Generation
Elisa Kreiss, Elisa Kreiss, Eric Zelikman et al.
ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention
Jiawei Wang, Changjian Li
Contextual Augmented Global Contrast for Multimodal Intent Recognition
Kaili Sun, Zhiwen Xie, Mang Ye et al.
Contextual Bandits with Online Neural Regression
Rohan Deb, Yikun Ban, Shiliang Zuo et al.