Full Model

"Full Model" research encompasses the development and improvement of large-scale machine learning models across diverse applications, aiming to enhance performance, efficiency, and robustness. Current research focuses on addressing model vulnerabilities (e.g., adversarial attacks, hallucinations), improving efficiency for resource-constrained devices, and developing specialized models for specific domains (e.g., finance, astronomy, medical imaging). This work is significant for advancing AI capabilities in various fields and for mitigating potential risks associated with deploying complex models in real-world settings.

Papers

November 7, 2024

SVDQunat: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han
Full Model Diffusion Explainer Connected Component Model Re Quantization
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang
Full Model Diffusion Explainer Denoising Diffusion Discriminative Task Diffusion Based Framework Dense Vision Task Generative Bridging Domain
DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models
Zijian Zhang, Vinay Setty, Yumeng Wang, Avishek Anand
Full Model Text Classification Neural Language Model Model Overfitting Interpretability Method Interactive Explanation Instance Based Explanation Causal Assumption Causal News Corpus
TAP-VL: Text Layout-Aware Pre-training for Enriched Vision-Language Models
Jonathan Fhima, Elad Ben Avraham, Oren Nuriel, Yair Kittenplon, Roy Ganz, Aviad Aberdam, Ron Litman
Full Model Vision Language Optical Character Recognition Layout Generation
One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity
Sonia K. Murthy, Tomer Ullman, Jennifer Hu
Large Language Model Full Model Human Language Alignment Problem Population Level Population Diversity Conceptual Diversity
Repairing Neural Networks for Safety in Robotic Systems using Predictive Models
Keyvan Majd, Geoffrey Clark, Georgios Fainekos, Heni Ben Amor
Neural Network Full Model Robot Person Mobile Robot Robotic System Robot Learning Human SAFETY DNN Repair Robot Safety
Model and Deep learning based Dynamic Range Compression Inversion
Haoran Sun, Dominique Fourer, Hichem Maaref
Deep Learning Full Model Model Inversion Dynamic Range

November 6, 2024

Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? Review and Intercomparison of Existing Models
Jose González-Abad, José Manuel Gutiérrez
Deep Learning Full Model Projection Bias Systematic Comparison Climate Downscaling Extrapolation Capability Regional Climate
Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning Tasks
Ryan Campbell, Nelson Lojo, Kesava Viswanadha, Christoffer Grondal Tryggestad, Derrick Han Sun, Sriteja Vijapurapu, August Rolfsen, Anant Sahai
Full Model Context Learning Efficient Hybrid Different Context Sequence Model Efficient Architecture Task Learning
A Novel Access Control and Privacy-Enhancing Approach for Models in Edge Computing
Peihao Li
Full Model Extreme Edge Watermarking Method Digital Computing Privacy Enhancing Technology Edge Model Access Control Model Ownership Verification
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
Yuhao He, Jinyu Tian, Xianwei Zheng, Li Dong, Yuanman Li, Leo Yu Zhang, Jiantao Zhou
Full Model Poisoning Attack Evasion Attack Singularity Free
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
Yu Guan, Kunlong Zhang, Qi Qi, Dong Wang, Ziwen Ke, Shaoyu Wang, Dong Liang, Qiegen Liu
Diffusion Model Full Model Field Data Dynamic Magnetic Resonance Imaging

November 5, 2024

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
Ying Zhou, Xinyao Wang, Yulei Niu, Yaojie Shen, Lexin Tang, Fan Chen, Ben He, Le Sun, Longyin Wen
Large Language Model Full Model Variational Autoencoder Latent Representation Synthetic Data Generation Latent Variable
Advancing Recycling Efficiency: A Comparative Analysis of Deep Learning Models in Waste Classification
Zhanshan Qiao
Deep Learning Full Model Comparative Study Support Vector Machine Advanced Textile Recycling Efficient Waste
Label Critic: Design Data Before Models
Pedro R. A. S. Bassi, Qilong Wu, Wenxuan Li, Sergio Decherchi, Andrea Cavalli, Alan Yuille, Zongwei Zhou
Full Model Pseudo Label Full Label Annotation Task

November 4, 2024

Multi-Transmotion: Pre-trained Model for Human Motion Prediction
Yang Gao, Po-Chien Luan, Alexandre Alahi
Full Model Cross Modal Trajectory Prediction Motion Prediction Human Motion Prediction Pose Prediction
Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models
Meng Cao, Yuyang Liu, Yingfei Liu, Tiancai Wang, Jiahua Dong, Henghui Ding, Xiangyu Zhang, Ian Reid, Xiaodan Liang
Full Model Instruction Tuning Contextual Embeddings Federat\textbf{T}ed Cl\textbf{A}ss Continual Lea\textbf{R}nin\textbf{G Incremental Training Continual Instruction Tuning Large Vision Language
Discrete the solving model of time-variant standard Sylvester-conjugate matrix equations using Euler-forward formula
Jiakuang He, Dongqing Wu
Full Model Complex Valued Discrete Environment Neural Dynamic Forward Forward Algorithm Conjugate Gradient
Evaluating Creative Short Story Generation in Humans and Large Language Models
Mete Ismayilzada, Claire Stevenson, Lonneke van der Plas
Full Model Real Human Large Language Story Generation Human Writer

November 3, 2024

An Exploration of Higher Education Course Evaluation by Large Language Models
Bo Yuan, Jiazi Hu
Large Language Model Full Model Environment Exploration Large Language Course Evaluation

Full Model

Papers

SVDQunat: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models

TAP-VL: Text Layout-Aware Pre-training for Enriched Vision-Language Models

One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity

Repairing Neural Networks for Safety in Robotic Systems using Predictive Models

Model and Deep learning based Dynamic Range Compression Inversion

Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? Review and Intercomparison of Existing Models

Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning Tasks

A Novel Access Control and Privacy-Enhancing Approach for Models in Edge Computing

Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization

Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models

Advancing Recycling Efficiency: A Comparative Analysis of Deep Learning Models in Waste Classification

Label Critic: Design Data Before Models

Multi-Transmotion: Pre-trained Model for Human Motion Prediction

Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models

Discrete the solving model of time-variant standard Sylvester-conjugate matrix equations using Euler-forward formula

Evaluating Creative Short Story Generation in Humans and Large Language Models

An Exploration of Higher Education Course Evaluation by Large Language Models