Papers
21,849 papers found
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
Junkang Wu, Yuexiang Xie, Zhengyi Yang et al.
$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
Moritz Haas, Jin Xu, Volkan Cevher et al.
$C^2M^3$: Cycle-Consistent Multi-Model Merging
Donato Crisostomi, Marco Fumero, Daniele Baieri et al.
$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
Wang Lin, Yueying Feng, Wenkang Han et al.
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
Jialiang Wang, Xiong Zhou, Deming Zhai et al.
$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
Kuzma Khrabrov, Anton Ber, Artem Tsypin et al.
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
Yinshuang Xu, Dian Chen, Katherine Liu et al.
$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
Weiquan Wang, Jun Xiao, Chunping Wang et al.
$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
Jianqing Xu, Shen Li, Jiaying Wu et al.
$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions
Lingxiao Li, Kaixiong Gong, Weihong Li et al.
$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
Ziquan Wei, Tingting Dan, Jiaqi Ding et al.
$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
Ruisi Cai, Yeonju Ro, Geon-Woo Kim et al.
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
Runqian Wang, Soumya Ghosh, David Cox et al.
$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
Zhaochen Su, Jun Zhang, Xiaoye Qu et al.
$\texttt{dattri}$: A Library for Efficient Data Attribution
Junwei Deng, Ting-Wei Li, Shiyuan Zhang et al.
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
Xinyu Zhao, Guoheng Sun, Ruisi Cai et al.
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning
Filip Granqvist, Congzheng Song, Áine Cahill et al.
2D-OOB: Attributing Data Contribution Through Joint Valuation Framework
Yifan Sun, Jingyan Shen, Yongchan Kwon
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
Kai Liu, Haotong Qin, Yong Guo et al.
3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition
Mahmoud Ahmed, Xiang Li, Arpit Prajapati et al.
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
Jongmin Lee, Minsu Cho
3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection
Mingsheng Li, Jiakang Yuan, Sijin Chen et al.
3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
Liyuan Zhang, Le Hui, Qi Liu et al.
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
Zhifan Ye, Chenxi Wan, Chaojian Li et al.
3D Gaussian Splatting as Markov Chain Monte Carlo
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma et al.