SLICK: Selective Localization and Instance Calibration for Knowledge-Enhanced Car Damage Segmentation in Automotive Insurance

12 June 2025

Papers citing "SLICK: Selective Localization and Instance Calibration for Knowledge-Enhanced Car Damage Segmentation in Automotive Insurance"

48 / 48 papers shown

Title
Fundamental Limitations on Subquadratic Alternatives to Transformers Josh Alman Hantao Yu 77 3 0 05 Oct 2024
A Survey on LoRA of Large Language Models Yuren Mao Yuhang Ge Yijiang Fan Wenyi Xu Yu Mi Zhonghao Hu Yunjun Gao ALM 94 38 0 08 Jul 2024
Nonparametric Modern Hopfield Models Jerry Yao-Chieh Hu Bo-Yu Chen Dennis Wu Feng Ruan Han Liu 50 17 0 05 Apr 2024
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model Chenwei Xu Yu-Chao Huang Jerry Yao-Chieh Hu Weijian Li Ammar Gilani H. Goan Han Liu 74 21 0 04 Apr 2024
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models Jerry Yao-Chieh Hu Pei-Hsuan Chang Haozheng Luo Hong-Yu Chen Weijian Li Wei-Po Wang Han Liu 69 29 0 04 Apr 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models Dennis Wu Jerry Yao-Chieh Hu Teng-Yun Hsiao Han Liu 80 33 0 04 Apr 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning Boyao Wang Xiang Liu Shizhe Diao Renjie Pi Jipeng Zhang Chi Han Tong Zhang 76 45 0 26 Mar 2024
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models Yaowei Zheng Richong Zhang Junhao Zhang Yanhan Ye Zheyan Luo Zhangchi Feng Yongqiang Ma 149 523 0 20 Mar 2024
Massive Activations in Large Language Models Mingjie Sun Xinlei Chen J. Zico Kolter Zhuang Liu 112 77 0 27 Feb 2024
LoRA+: Efficient Low Rank Adaptation of Large Models Soufiane Hayou Nikhil Ghosh Bin Yu AI4CE 92 178 0 19 Feb 2024
DoRA: Weight-Decomposed Low-Rank Adaptation Shih-yang Liu Chien-Yi Wang Hongxu Yin Pavlo Molchanov Yu-Chiang Frank Wang Kwang-Ting Cheng Min-Hung Chen 102 400 0 14 Feb 2024
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis Jerry Yao-Chieh Hu Thomas Lin Zhao Song Han Liu 40 40 0 07 Feb 2024
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models Josh Alman Zhao Song 53 14 0 07 Feb 2024
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction Dennis Wu Jerry Yao-Chieh Hu Weijian Li Bo-Yu Chen Han Liu AI4TS 71 34 0 28 Dec 2023
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning Han Guo P. Greengard Eric P. Xing Yoon Kim MQ 93 54 0 20 Nov 2023
Sparse Low-rank Adaptation of Pre-trained Language Models Ning Ding Xingtai Lv Qiaosen Wang Yulin Chen Bowen Zhou Zhiyuan Liu Maosong Sun 72 68 0 20 Nov 2023
The Expressive Power of Low-Rank Adaptation Yuchen Zeng Kangwook Lee 96 65 0 26 Oct 2023
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models Yixiao Li Yifan Yu Chen Liang Pengcheng He Nikos Karampatziakis Weizhu Chen Tuo Zhao MQ 91 140 0 12 Oct 2023
How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation Josh Alman Zhao Song 101 37 0 06 Oct 2023
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models Yuhui Xu Lingxi Xie Xiaotao Gu Xin Chen Heng Chang Hengheng Zhang Zhensu Chen Xiaopeng Zhang Qi Tian MQ 55 104 0 26 Sep 2023
On Sparse Modern Hopfield Model Jerry Yao-Chieh Hu Donglin Yang Dennis Wu Chenwei Xu Bo-Yu Chen Han Liu VLM 63 32 0 22 Sep 2023
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time Yeqi Gao Zhao Song Weixin Wang Junze Yin 71 29 0 14 Sep 2023
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks Soumi Maiti Yifan Peng Shukjae Choi Jee-weon Jung Xuankai Chang Shinji Watanabe VLM AuLLM 84 66 0 14 Sep 2023
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Chengsong Huang Qian Liu Bill Yuchen Lin Tianyu Pang Chao Du Min Lin MoMe 101 211 0 25 Jul 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 307 11,894 0 18 Jul 2023
In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick Yeqi Gao Zhao Song Shenghao Xie 57 28 0 05 Jul 2023
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution Eric N. D. Nguyen Michael Poli Marjan Faizi A. Thomas Callum Birch-Sykes ... Stefano Massaroli Yoshua Bengio Stefano Ermon S. Baccus Christopher Ré MedIm 86 252 0 27 Jun 2023
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome Zhihan Zhou Yanrong Ji Weijian Li Pratik Dutta R. Davuluri Han Liu 70 188 0 26 Jun 2023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing Yelysei Bondarenko Markus Nagel Tijmen Blankevoort MQ 59 92 0 22 Jun 2023
FinGPT: Open-Source Financial Large Language Models Hongyang Yang Xiao-Yang Liu Chris Wang AIFin 62 226 0 09 Jun 2023
QLoRA: Efficient Finetuning of Quantized LLMs Tim Dettmers Artidoro Pagnoni Ari Holtzman Luke Zettlemoyer ALM 150 2,591 0 23 May 2023
BloombergGPT: A Large Language Model for Finance Shijie Wu Ozan Irsoy Steven Lu Vadim Dabravolski Mark Dredze Sebastian Gehrmann P. Kambadur David S. Rosenberg Gideon Mann AIFin 218 843 0 30 Mar 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.4K 14,631 0 15 Mar 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 1.5K 13,247 0 27 Feb 2023
Fast Attention Requires Bounded Entries Josh Alman Zhao Song 74 85 0 26 Feb 2023
Large Language Models Encode Clinical Knowledge K. Singhal Shekoofeh Azizi T. Tu S. S. Mahdavi Jason W. Wei ... A. Rajkomar Joelle Barral Christopher Semturs Alan Karthikesalingam Vivek Natarajan LM&MA ELM AI4MH 144 2,352 0 26 Dec 2022
OPT: Open Pre-trained Transformer Language Models Susan Zhang Stephen Roller Naman Goyal Mikel Artetxe Moya Chen ... Daniel Simig Punit Singh Koura Anjali Sridhar Tianlu Wang Luke Zettlemoyer VLM OSLM AI4CE 336 3,667 0 02 May 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models Ning Ding Yujia Qin Guang Yang Fu Wei Zonghan Yang ... Jianfei Chen Yang Liu Jie Tang Juan Li Maosong Sun 76 202 0 14 Mar 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 477 10,367 0 17 Jun 2021
Algorithms and Hardness for Linear Algebra on Geometric Graphs Josh Alman T. Chu Aaron Schild Zhao Song 103 30 0 04 Nov 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 814 42,055 0 28 May 2020
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 139 993 0 12 Feb 2020
Libri-Light: A Benchmark for ASR with Limited or No Supervision Jacob Kahn M. Rivière Weiyi Zheng Evgeny Kharitonov Qiantong Xu ... Tatiana Likhomanenko Gabriel Synnaeve Armand Joulin Abdel-rahman Mohamed Emmanuel Dupoux AuLLM 70 672 0 17 Dec 2019
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation H. Diao Rajesh Jayaram Zhao Song Wen Sun David P. Woodruff 51 45 0 29 Sep 2019
Learning Deep Transformer Models for Machine Translation Qiang Wang Bei Li Tong Xiao Jingbo Zhu Changliang Li Derek F. Wong Lidia S. Chao 76 672 0 05 Jun 2019
Sketching for Kronecker Product Regression and P-splines H. Diao Zhao Song Wen Sun David P. Woodruff 66 57 0 27 Dec 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 713 131,652 0 12 Jun 2017
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks A. Backurs Piotr Indyk Ludwig Schmidt 102 40 0 10 Apr 2017