Cover Image

Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yousefi, Mojtaba, Collins, Jack
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
by: Yang, Zhen, et al.
Published: (2025)

Reassessing the Role of Supervised Fine-Tuning: An Empirical Study in VLM Reasoning
by: Yu, Yongcan, et al.
Published: (2025)

Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
by: Kenthapadi, Krishnaram, et al.
Published: (2024)

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
by: Zhang, Wenqi, et al.
Published: (2025)

CEPO: RLVR Self-Distillation using Contrastive Evidence Policy Optimization
by: Heakl, Ahmed, et al.
Published: (2026)

Curvature-Regularized Variational Autoencoder for 3D Scene Reconstruction from Sparse Depth
by: Yousefi, Maryam, et al.
Published: (2025)

WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge
by: Ramachandran, Saravanabalagi, et al.
Published: (2023)

Learning from Synthetic Data for Visual Grounding
by: He, Ruozhen, et al.
Published: (2024)

Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings
by: Wu, Qiong, et al.
Published: (2024)

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning
by: Xu, Jiawen, et al.
Published: (2025)

MOFI: Learning Image Representations from Noisy Entity Annotated Images
by: Wu, Wentao, et al.
Published: (2023)

Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
by: Pan, Bikang, et al.
Published: (2024)

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
by: Gu, Jianyang, et al.
Published: (2025)

Verbalized Machine Learning: Revisiting Machine Learning with Language Models
by: Xiao, Tim Z., et al.
Published: (2024)

Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
by: Park, Kwanyong, et al.
Published: (2024)

SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop
by: Hamann, Friedhelm, et al.
Published: (2025)

Multimodal Structured Generation: CVPR's 2nd MMFM Challenge Technical Report
by: Cesista, Franz Louis
Published: (2024)

Reinforced Attention Learning
by: Li, Bangzheng, et al.
Published: (2026)

Learning Rate Curriculum
by: Croitoru, Florinel-Alin, et al.
Published: (2022)

Adaptive Memory Replay for Continual Learning
by: Smith, James Seale, et al.
Published: (2024)

Text-centric Alignment for Multi-Modality Learning
by: Tsai, Yun-Da, et al.
Published: (2024)

Hyperbolic Multimodal Representation Learning for Biological Taxonomies
by: Gong, ZeMing, et al.
Published: (2025)

Mixture of Group Experts for Learning Invariant Representations
by: Kang, Lei, et al.
Published: (2025)

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models
by: Yi, Hao, et al.
Published: (2024)

Verbalized Representation Learning for Interpretable Few-Shot Generalization
by: Yang, Cheng-Fu, et al.
Published: (2024)

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
by: Lin, Ci-Siang, et al.
Published: (2024)

Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
by: Guo, Zirun, et al.
Published: (2024)

REBEL: Reinforcement Learning via Regressing Relative Rewards
by: Gao, Zhaolin, et al.
Published: (2024)

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2023)

MAGIC: Near-Optimal Data Attribution for Deep Learning
by: Ilyas, Andrew, et al.
Published: (2025)

REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations
by: Sushko, Peter, et al.
Published: (2025)

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation
by: Collins, Katherine M., et al.
Published: (2024)

Improving Multimodal Large Language Models Using Continual Learning
by: Srivastava, Shikhar, et al.
Published: (2024)

Advanced Multimodal Deep Learning Architecture for Image-Text Matching
by: Wang, Jinyin, et al.
Published: (2024)

Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning
by: Huang, Guangming, et al.
Published: (2024)

T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
by: Maini, Pratyush, et al.
Published: (2023)

GRASP: A Rehearsal Policy for Efficient Online Continual Learning
by: Harun, Md Yousuf, et al.
Published: (2023)

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning
by: Margaritis, Georgios, et al.
Published: (2025)

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
by: Tran, Minh-Tuan, et al.
Published: (2024)

Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models
by: Dumpala, Sri Harsha, et al.
Published: (2024)