Poster Papers
24,624 papers found • Page 110 of 493
Conference
From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs
Xin Li, Xiaotao Zheng, Zhihong Xia
From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
Yan Jiang, Hao Yu, Xu Cheng et al.
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
Qinshuo Liu, Weiqin Zhao, Wei Huang et al.
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clementine Domine, Nicolas Anguita, Alexandra M Proca et al.
From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
Charles W J Pugh, Paulina Nuñez-Valencia, Mafalda Dias et al.
From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
Anthony Bisulco, Rahul Ramesh, Randall Balestriero et al.
From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning
Junsoo Oh, Jerry Song, Chulhee Yun
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
Lincan Cai, Jingxuan Kang, Shuang Li et al.
From Logits to Hierarchies: Hierarchical Clustering made Simple
Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser et al.
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
Ajay Jaiswal, Yifan Wang, Lu Yin et al.
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller et al.
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons
Andrew Szot, Bogdan Mazoure, Omar Attia et al.
From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
Praneet Suresh, Jack Stanley, Sonia Joseph et al.
From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes
Tianxu Wang, Zhuofan Zhang, Ziyu Zhu et al.
From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning
Yuhui Zeng, Haoxiang Wu, Wenjie Nie et al.
From One to More: Contextual Part Latents for 3D Generation
Shaocong Dong, Lihe Ding, Xiao Chen et al.
From Panels to Prose: Generating Literary Narratives from Comics
Ragav Sachdeva, Andrew Zisserman
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
Zhanke Zhou, Xiao Feng, Zhaocheng Zhu et al.
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz, Julia Vogt
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities
Wanpeng Zhang, Zilong Xie, Yicheng Feng et al.
From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
Chao Yuan, Guiwei Zhang, Changxiao Ma et al.
From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
RUOFAN LIU, YICHEN PENG, Takanori Oku et al.
From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
HAO SUN, Zhongyi Han, Hao Chen et al.
From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy
Julian Dörfler, Benito van der Zander, Markus Bläser et al.
From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries
Joy Hsu, Emily Jin, Jiajun Wu et al.
From Promise to Practice: Realizing High-performance Decentralized Training
Zesen Wang, Jiaojiao Zhang, Xuyang Wu et al.
From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition
Ling Lo, Kelvin Chan, Wen-Huang Cheng et al.
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
Jinhong Lin, Cheng-En Wu, Huanran Li et al.
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Bernal Jimenez Gutierrez, Yiheng Shu, Weijian Qi et al.
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
Le Zhuo, Liangbing Zhao, Sayak Paul et al.
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
Yaohui Zhang, Haijing ZHANG, Wenlong Ji et al.
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu et al.
From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč et al.
From Search to Sampling: Generative Models for Robust Algorithmic Recourse
Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi
From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
Weitong Zhang, Chengqi Zang, Bernhard Kainz
From Sequence to Structure: Uncovering Substructure Reasoning in Transformers
Xinnan Dai, Kai Yang, Jay Revolinsky et al.
From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras
Youngho Kim, Hoonhee Cho, Kuk-Jin Yoon
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
Tianwei Yin, Qiang Zhang, Richard Zhang et al.
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps
Paul Rosu, Lawrence Carin, Xiang Cheng
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
Kaiyue Wen, Huaqing Zhang, Hongzhou Lin et al.
From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models
German Barquero, Nadine Bertsch, Manojkumar Marramreddy et al.
From Sparse to Dense: Camera Relocalization with Scene-Specific Detector from Feature Gaussian Splatting
Zhiwei Huang, Hailin Yu, Yichun Shentu et al.
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes
Long Ma, Zhiyuan Yan, Jin Xu et al.
From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
Shengju Yu, Dong Zhibin, Siwei Wang et al.
From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling
Marien Renaud, Valentin De Bortoli, Arthur Leclaire et al.
From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
Eric Zhao, Pranjal Awasthi, Nika Haghtalab
From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
Sunny Duan, Ling L. Dong, Ila Fiete
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
Yoon Hyeok Lee, Jaemin Park, Taejin Paik et al.
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
Ang Cao, Sergio Arnaud, Oleksandr Maksymets et al.
From Tokens to Lattices: Emergent Lattice Structures in Language Models
Bo Xiong, Steffen Staab