Poster Papers
24,624 papers found • Page 60 of 493
Conference
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing
Yufei Huang, Bangyan Liao, Yuqi Hu et al.
DACoN: DINO for Anime Paint Bucket Colorization with Any Number of Reference Images
Kazuma Nagata, Naoshi Kaneko
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
Yang JingYi, Xun Lin, Zitong YU et al.
DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh
Jingyu Zhuang, Di Kang, Linchao Bao et al.
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
Runpeng Xie, Quanwei Wang, Hao Hu et al.
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
Changyi He, Yifu Ding, Jinyang Guo et al.
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data
Junjie Wu, Jiangtao Xie, Zhaolin Zhang et al.
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
Jinda Lu, Junkang Wu, Jinghan Li et al.
DAMamba: Vision State Space Model with Dynamic Adaptive Scan
Tanzhe Li, Caoshuo Li, Jiayi Lyu et al.
DAMap: Distance-aware MapNet for High Quality HD Map Construction
JINPENG DONG, Chen Li, Yutong Lin et al.
DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models
Kaishen Wang, Hengrui Gu, Meijun Gao et al.
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
Yifan Wang, Hourun Li, Ling Yue et al.
DanceEditor: Towards Iterative Editable Music-driven Dance Generation with Open-Vocabulary Descriptions
Hengyuan Zhang, Zhe Li, Xingqun Qi et al.
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Qiying Yu, Zheng Zhang, Ruofei Zhu et al.
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng, Yize Zhao, Vala Vakilian et al.
DarkBench: Benchmarking Dark Patterns in Large Language Models
Esben Kran, Hieu Minh Nguyen, Akash Kundu et al.
DarkIR: Robust Low-Light Image Restoration
Daniel Feijoo, Juan C. Benito, Alvaro Garcia et al.
Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection
Jiasheng Guo, Xin Gao, Yuxiang Yan et al.
DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control
Kaifeng Zhao, Gen Li, Siyu Tang
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
Sang-Jun Park, Keun-Soo Heo, Dong-Hee Shin et al.
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
YUANTIAN SHAO, Yuanteng Chen, Peisong Wang et al.
DASH: 4D Hash Encoding with Self-Supervised Decomposition for Real-Time Dynamic Scene Rendering
Jie Chen, Zhangchi Hu, Peixi Wu et al.
DASH: Detection and Assessment of Systematic Hallucinations of VLMs
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Fengyu Gao, Ruida Zhou, Tianhao Wang et al.
Data-Adaptive Exposure Thresholds under Network Interference
Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan
Data Center Cooling System Optimization Using Offline Reinforcement Learning
Xianyuan Zhan, Xiangyu Zhu, Peng Cheng et al.
Data-centric Prediction Explanation via Kernelized Stein Discrepancy
Mahtab Sarvmaili, Hassan Sajjad, Ga Wu
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Ian Magnusson, Tai Nguyen, Ben Bogin et al.
Data-Dependent Regret Bounds for Constrained MABs
Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni et al.
Data Distillation for extrapolative protein design through exact preference optimization
Mostafa Karimi, Sharmi Banerjee, Tommi Jaakkola et al.
Data Distributional Properties As Inductive Bias for Systematic Generalization
Felipe del Rio, Alain Raymond, Daniel Florea et al.
DATA: Domain-And-Time Alignment for High-Quality Feature Fusion in Collaborative Perception
Chengchang Tian, Jianwei Ma, Yan Huang et al.
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
Santiago Cortes-Gomez, Naveen Raman, Aarti Singh et al.
Data-Driven Performance Guarantees for Classical and Learned Optimizers
Rajiv Sambharya, Bartolomeo Stellato
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
Xichen Guo, Feng Xie, Yan Zeng et al.
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
Xiao Han, ZIMO ZHAO, Wanyu Wang et al.
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho et al.
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
gen li, Yao Wan, Hongyu Zhang et al.
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram et al.
Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions
Zeyu Wang, Yidan Song, Shihao Qin et al.
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Chanhui Lee, Yeonghwan Song, Jeany Son
Data Fusion for Partial Identification of Causal Effects
Quinn Lanners, Cynthia Rudin, Alexander Volfovsky et al.
DataGen: Unified Synthetic Dataset Generation via Large Language Models
Yue Huang, Siyuan Wu, Chujie Gao et al.
DataMan: Data Manager for Pre-training Large Language Models
Ru Peng, Kexin Yang, Yawen Zeng et al.
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye, Peiju Liu, Tianxiang Sun et al.
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
Yuan Li, Zhengzhong Liu, Eric Xing
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
Thomson Yen, Andrew Siah, Haozhe Chen et al.
Data Pruning by Information Maximization
Haoru Tan, Sitong Wu, Wei Huang et al.
DataRater: Meta-Learned Dataset Curation
Dan Andrei Calian, Greg Farquhar, Iurii Kemaev et al.
Data Scaling Laws in Imitation Learning for Robotic Manipulation
Fanqi Lin, Yingdong Hu, Pingyue Sheng et al.