T-MARS: Improving Visual Representations by Circumventing Text Feature
Learning

T-MARS: Improving Visual Representations by Circumventing Text Feature Learning

6 July 2023

Zachary Chase Lipton

J. Zico Kolter

Aditi Raghunathan

Papers citing "T-MARS: Improving Visual Representations by Circumventing Text Feature Learning"

7 / 7 papers shown

Title
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams C. Kim Jihwan Moon Sangwoo Moon Heeseung Yun Sihaeng Lee Aniruddha Kembhavi Soonyoung Lee Gunhee Kim Sangho Lee Christopher Clark 23 0 0 21 Apr 2025
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning Yiping Wang Yifang Chen Wendan Yan Alex Fang Wenjing Zhou Kevin G. Jamieson S. Du 32 7 0 29 May 2024
Effective pruning of web-scale datasets based on complexity of concept clusters Amro Abbas E. Rusak Kushal Tirumala Wieland Brendel Kamalika Chaudhuri Ari S. Morcos VLM CLIP 21 22 0 09 Jan 2024
Mitigating Open-Vocabulary Caption Hallucinations Assaf Ben-Kish Moran Yanuka Morris Alper Raja Giryes Hadar Averbuch-Elor MLLM VLM 11 6 0 06 Dec 2023
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 237 588 0 14 Jul 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020