All Papers
34,598 papers found • Page 101 of 692
Conference
DISC: Dynamic Decomposition Improves LLM Inference Scaling
Jonathan Li, Wei Cheng, Benjamin Riviere et al.
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
Utkarsh Mall, Cheng Perng Phoo, Mia Chiquier et al.
DiSCO-3D : Discovering and Segmenting Sub-Concepts from Open-vocabulary Queries in NeRF
Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile et al.
Disco4D: Disentangled 4D Human Generation and Animation from a Single Image
Hui En Pang, Shuai Liu, Zhongang Cai et al.
DIS-CO: Discovering Copyrighted Content in VLMs Training Data
André Duarte, Xuandong Zhao, Arlindo Oliveira et al.
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models
Longquan Dai, Wu Ming, Dejiao Xue et al.
DISCO: Disentangled Communication Steering for Large Language Models
Max Torop, Aria Masoomi, Masih Eskandar et al.
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
Jacob F. Pettit, Chak Shing Lee, Jiachen Yang et al.
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
Hourun Li, Yifan Wang, Zhiping Xiao et al.
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
Rudy Morel, Jiequn Han, Edouard Oyallon
Discontinuity-aware Normal Integration for Generic Central Camera Models
Francesco Milano, Manuel Lopez-Antequera, Naina Dhingra et al.
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection
Francisco Caetano, Christiaan Viviers, Luis Zavala-Mondragón et al.
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding
Jungbin Cho, Junwan Kim, Jisoo Kim et al.
DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
Gang Li, Ming Lin, Tomer Galanti et al.
DisCo: Towards Distinct and Coherent Visual Encapsulation in Video MLLMs
JIAHE ZHAO, rongkun Zheng, Yi Wang et al.
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter et al.
Discovering a Zero (Zero-Vector Class of Machine Learning)
Harikrishna Metta, Venkatesh Babu Radhakrishnan
Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching
Renjie Pan, Jihao Dong, Hua Yang
Discovering Compositional Hallucinations in LVLMs
Sibei Yang, Ge Zheng, Jiajin Tang et al.
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
Jianhua Sun, Yuxuan Li, Longfei Xu et al.
Discovering Data Structures: Nearest Neighbor Search and Beyond
Omar Salemohamed, Laurent Charlin, Shivam Garg et al.
Discovering Divergent Representations between Text-to-Image Models
Lisa Dunlap, Trevor Darrell, Joseph Gonzalez et al.
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
Yan Xie, Zequn Zeng, Hao Zhang et al.
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
Vicente Balmaseda, Bokun Wang, Lin et al.
Discovering Group Structures via Unitary Representation Learning
Dongsung Huh
Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
Xueyi Ke, Satoshi Tsutsui, Yayun Zhang et al.
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.
Discovering Influential Neuron Path in Vision Transformers
Yifan Wang, Yifei Liu, Yingdong Shi et al.
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
Linxin Song, Xuwei Ding, Jieyu Zhang et al.
Discovering Latent Causal Graphs from Spatiotemporal Data
Kun Wang, Sumanth Varambally, Duncan Watson-Parris et al.
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
Bailey Trang Nguyen, Parham Saremi, Alan Wang et al.
Discovering Opinion Intervals from Conflicts in Signed Graphs
Peter Blohm, Florian Chen, Aristides Gionis et al.
Discovering Options That Minimize Average Planning Time
Alexander Ivanov, Akhil Bagaria, George Konidaris
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
Shurui Gui, Xiner Li, Shuiwang Ji
Discovering Spoofing Attempts on Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab et al.
Discovering Symbolic Cognitive Models from Human and Animal Behavior
Pablo Samuel Castro, Nenad Tomasev, Ankit Anand et al.
Discovering Symbolic Partial Differential Equation by Abductive Learning
En-Hao Gao, Cunjing Ge, Yuan Jiang et al.
Discovering Symmetries of ODEs by Symbolic Regression
Paul Kahlmeyer, Niklas Merk, Joachim Giesen
Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
Changmin Yu, Maneesh Sahani, Máté Lengyel
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal et al.
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
Leqi Shen, Guoqiang Gong, Tianxiang Hao et al.
Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
Yijun Dong, Yicheng Li, Yunai Li et al.
Discrepancy Minimization in Input-Sparsity Time
Yichuan Deng, Xiaoyu Li, Zhao Song et al.
Discrete and Continuous Difference of Submodular Minimization
George Orfanides, Tim Hoheisel, Marwa El Halabi
Discrete Codebook World Models for Continuous Control
Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää et al.
Discrete Copula Diffusion
Anji Liu, Oliver Broadrick, Mathias Niepert et al.
Discrete Curvature Graph Information Bottleneck
Xingcheng Fu, Jian Wang, Yisen Gao et al.
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
Yuchen Liang, Yingbin Liang, Lifeng LAI et al.
Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
Jun Hyeong Kim, Seonghwan Kim, Seokhyun Moon et al.
Discrete Distribution Networks
Lei Yang