Poster Papers

24,624 papers found • Page 71 of 493

Directly Forecasting Belief for Reinforcement Learning with Delays

Qingyuan Wu, Yuhui Wang, Simon Zhan et al.

ICML 2025arXiv:2505.00546
2
citations

Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning

Xingjian Ran, Yixuan Li, Linning Xu et al.

NEURIPS 2025arXiv:2506.05341
6
citations

Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations

Thomas Tian, Kratarth Goel

ICLR 2025arXiv:2503.20105
4
citations

Direct Prediction Set Minimization via Bilevel Conformal Classifier Training

Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia et al.

ICML 2025arXiv:2506.06599
6
citations

DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation

Xiaoliang Ju, Hongsheng Li

CVPR 2025arXiv:2503.06900
1
citations

DISC: Dynamic Decomposition Improves LLM Inference Scaling

Jonathan Li, Wei Cheng, Benjamin Riviere et al.

NEURIPS 2025arXiv:2502.16706
8
citations

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery

Utkarsh Mall, Cheng Perng Phoo, Mia Chiquier et al.

CVPR 2025arXiv:2502.10060
3
citations

DiSCO-3D : Discovering and Segmenting Sub-Concepts from Open-vocabulary Queries in NeRF

Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile et al.

ICCV 2025arXiv:2507.14596
1
citations

Disco4D: Disentangled 4D Human Generation and Animation from a Single Image

Hui En Pang, Shuai Liu, Zhongang Cai et al.

CVPR 2025arXiv:2409.17280
10
citations

DIS-CO: Discovering Copyrighted Content in VLMs Training Data

André Duarte, Xuandong Zhao, Arlindo Oliveira et al.

ICML 2025arXiv:2502.17358

DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models

Longquan Dai, Wu Ming, Dejiao Xue et al.

NEURIPS 2025

DISCO: Disentangled Communication Steering for Large Language Models

Max Torop, Aria Masoomi, Masih Eskandar et al.

NEURIPS 2025arXiv:2509.16820
1
citations

DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection

Francisco Caetano, Christiaan Viviers, Luis Zavala-Mondragón et al.

ICCV 2025arXiv:2501.08005

DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization

Gang Li, Ming Lin, Tomer Galanti et al.

NEURIPS 2025arXiv:2505.12366
12
citations

DisCo: Towards Distinct and Coherent Visual Encapsulation in Video MLLMs

JIAHE ZHAO, rongkun Zheng, Yi Wang et al.

ICCV 2025arXiv:2507.10302

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning

Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter et al.

NEURIPS 2025arXiv:2505.19850
6
citations

Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching

Renjie Pan, Jihao Dong, Hua Yang

ICLR 2025

Discovering Compositional Hallucinations in LVLMs

Sibei Yang, Ge Zheng, Jiajin Tang et al.

NEURIPS 2025

Discovering Data Structures: Nearest Neighbor Search and Beyond

Omar Salemohamed, Laurent Charlin, Shivam Garg et al.

NEURIPS 2025arXiv:2411.03253

Discovering Divergent Representations between Text-to-Image Models

Lisa Dunlap, Trevor Darrell, Joseph Gonzalez et al.

ICCV 2025arXiv:2509.08940

Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models

Yan Xie, Zequn Zeng, Hao Zhang et al.

CVPR 2025arXiv:2505.07209
7
citations

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning

Vicente Balmaseda, Bokun Wang, Lin et al.

ICML 2025arXiv:2502.20612
2
citations

Discovering Group Structures via Unitary Representation Learning

Dongsung Huh

ICLR 2025
2
citations

Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning

Xueyi Ke, Satoshi Tsutsui, Yayun Zhang et al.

CVPR 2025arXiv:2501.05205
2
citations

Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective

Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.

NEURIPS 2025

Discovering Influential Neuron Path in Vision Transformers

Yifan Wang, Yifei Liu, Yingdong Shi et al.

ICLR 2025arXiv:2503.09046
4
citations

Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation

Bailey Trang Nguyen, Parham Saremi, Alan Wang et al.

NEURIPS 2025

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning

Shurui Gui, Xiner Li, Shuiwang Ji

ICML 2025arXiv:2502.04495
1
citations

Discovering Spoofing Attempts on Language Model Watermarks

Thibaud Gloaguen, Nikola Jovanović, Robin Staab et al.

ICML 2025arXiv:2410.02693
1
citations

Discovering Symbolic Partial Differential Equation by Abductive Learning

En-Hao Gao, Cunjing Ge, Yuan Jiang et al.

NEURIPS 2025

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal et al.

ICLR 2025arXiv:2407.01725
40
citations

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval

Leqi Shen, Guoqiang Gong, Tianxiang Hao et al.

CVPR 2025arXiv:2506.08887
5
citations

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension

Yijun Dong, Yicheng Li, Yunai Li et al.

ICML 2025arXiv:2502.05075
4
citations

Discrete and Continuous Difference of Submodular Minimization

George Orfanides, Tim Hoheisel, Marwa El Halabi

ICML 2025arXiv:2506.07952

Discrete Codebook World Models for Continuous Control

Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää et al.

ICLR 2025arXiv:2503.00653
9
citations

Discrete Copula Diffusion

Anji Liu, Oliver Broadrick, Mathias Niepert et al.

ICLR 2025arXiv:2410.01949
26
citations

Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees

Yuchen Liang, Yingbin Liang, Lifeng LAI et al.

NEURIPS 2025arXiv:2509.16756
3
citations

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation

Jun Hyeong Kim, Seonghwan Kim, Seokhyun Moon et al.

ICLR 2025arXiv:2410.01500
14
citations

Discrete Distribution Networks

Lei Yang

ICLR 2025arXiv:2401.00036
2
citations

Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control

Songyuan Zhang, Oswin So, Mitchell Black et al.

ICLR 2025arXiv:2502.03640
7
citations

Discrete Latent Plans via Semantic Skill Abstractions

Haobin Jiang, Wang, Zongqing Lu

ICLR 2025
1
citations

Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions

Le Tuyet Nhi PHAM, Dario Shariatian, Antonio Ocello et al.

ICML 2025

Discrete Neural Algorithmic Reasoning

Gleb Rodionov, Liudmila Prokhorenkova

ICML 2025arXiv:2402.11628
7
citations

Discrete Neural Flow Samplers with Locally Equivariant Transformer

Zijing Ou, Ruixiang Zhang, Yingzhen Li

NEURIPS 2025arXiv:2505.17741
8
citations

Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations

Shengeng Tang, Jiayi He, Lechao Cheng et al.

CVPR 2025arXiv:2411.16810
17
citations

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles

Hongyi Henry Jin, Zijun Ding, Dung Daniel Ngo et al.

NEURIPS 2025arXiv:2505.17435
3
citations

Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators

Wenhan Gao, Ruichen Xu, Yuefan Deng et al.

ICLR 2025
18
citations

Discretized Gaussian Representation for Tomographic Reconstruction

Shaokai Wu, Yuxiang Lu, Yapan Guo et al.

ICCV 2025arXiv:2411.04844
3
citations

Discriminating image representations with principal distortions

Jenelle Feather, David Lipshutz, Sarah Harvey et al.

ICLR 2025arXiv:2410.15433
4
citations

Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data

Siqi Guo, Ilgee Hong, Vicente Balmaseda et al.

ICML 2025arXiv:2502.18679
1
citations