Poster Papers
24,624 papers found • Page 337 of 493
Conference
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
Jiahan Zhang, Qi Wei, Feng Liu et al.
Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
Yilong Wang, Haishan Ye, Guang Dai et al.
Can Implicit Bias Imply Adversarial Robustness?
Hancheng Min, Rene Vidal
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
Inhwan Bae, Junoh Lee, Hae-Gon Jeon
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng LYU et al.
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Miao Xiong, Zhiyuan Hu, Xinyang Lu et al.
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
Khashayar Gatmiry, Nikunj Saunshi, Sashank J. Reddi et al.
Can Machines Learn the True Probabilities?
Jinsook Kim
Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks
Jong Ho Park, Jaden Park, Zheyang Xiong et al.
CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images
Jisu Shin, Junmyeong Lee, Seongmin Lee et al.
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning
Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe et al.
Can OOD Object Detectors Learn from Foundation Models?
Jiahui Liu, Xin Wen, Shizhen Zhao et al.
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
Zhengyue Zhao, Jinhao Duan, Kaidi Xu et al.
Can Textual Semantics Mitigate Sounding Object Segmentation Preference?
Yaoting Wang, Peiwen Sun, Yuanchao Li et al.
Can’t Make an Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-Language Models
Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo et al.
Can Transformers Capture Spatial Relations between Objects?
Chuan Wen, Dinesh Jayaraman, Yang Gao
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
JIANFEI YANG, Hanjie Qian, Yuecong Xu et al.
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
Gourav Datta, Zeyu Liu, Peter Beerel
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
Wu Lin, Felix Dangel, Runa Eschenhagen et al.
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
Townim Chowdhury, Kewen Liao, Vu Minh Hieu Phan et al.
CapHuman: Capture Your Moments in Parallel Universes
Chao Liang, Fan Ma, Linchao Zhu et al.
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources
Sikha Pentyala, Mayana Pereira, Martine De Cock
CapsFusion: Rethinking Image-Text Data at Scale
Qiying Yu, Quan Sun, Xiaosong Zhang et al.
Capturing Closely Interacted Two-Person Motions with Reaction Priors
Qi Fang, Yinghui Fan, Yanjun Li et al.
CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection
Wei-Yu Lee, Martin Dimitrievski, David Van Hamme et al.
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
Milong Ren, Tian Zhu, Haicang Zhang
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
JIEWEN YANG, Yiqun Lin, Bin Pu et al.
Careful with that Scalpel: Improving Gradient Surgery with an EMA
Yu-Guan Hsieh, James Thornton, Eugene Ndiaye et al.
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
Jiezhi Yang, Khushi P Desai, Charles Packer et al.
CarFormer: Self-Driving with Learned Object-Centric Representations
Shadi Hamdan, Fatma Guney
CARTE: Pretraining and Transfer for Tabular Learning
Myung Jun Kim, Leo Grinsztajn, Gael Varoquaux
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
Desai Xie, Jiahao Li, Hao Tan et al.
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
Haoran Lai, Qingsong Yao, Zihang Jiang et al.
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
Yunheng Li, Zhong-Yu Li, Quan-Sheng Zeng et al.
Cascade Prompt Learning for Visual-Language Model Adaptation
Ge Wu, Xin Zhang, Zheng Li et al.
Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views
Yabo Chen, Jiemin Fang, Yuyang Huang et al.
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
JUNCHAO GONG, LEI BAI, Peng Ye et al.
Case-Based or Rule-Based: How Do Transformers Do the Math?
Yi Hu, Xiaojuan Tang, Haotong Yang et al.
Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning
Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan et al.
Catastrophic Overfitting: A Potential Blessing in Disguise
MN Zhao, Lihe Zhang, Yuqiu Kong et al.
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing
Haibo Jin, Ruoxi Chen, Jinyin Chen et al.
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
Jianhao Zeng, Dan Song, Weizhi Nie et al.
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert et al.
Category-Aware Active Domain Adaptation
Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu
Category-Level Multi-Part Multi-Joint 3D Shape Assembly
Yichen Li, Kaichun Mo, Yueqi Duan et al.
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images
Chuanrui Zhang, Yonggen Ling, Minglei Lu et al.
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios
Qilang Ye, Zitong Yu, Rui Shao et al.
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection
Mikhail Kennerley, Jian-Gang Wang, Bharadwaj Veeravalli et al.
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
Aoran Xiao, Weihao Xuan, Heli Qi et al.