On the geometry of generalization and memorization in deep neural networks

30 May 2021

Papers citing "On the geometry of generalization and memorization in deep neural networks"

23 / 23 papers shown

Title
Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks Ibrahim Talha Ersoy Karoline Wiesner 23 0 0 10 May 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 54 0 0 25 Feb 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min-Bin Lin Ye Wang DiffM TDI 166 43 0 21 Feb 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 59 0 0 10 Feb 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 60 2 0 01 Jan 2025
Mitigating Memorization In Language Models Mansi Sakarvadia Aswathy Ajith Arham Khan Nathaniel Hudson Caleb Geniesse Kyle Chard Yaoqing Yang Ian Foster Michael W. Mahoney KELM MU 58 0 0 03 Oct 2024
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes S. Lehmler Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 19 0 0 01 Aug 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 25 20 0 18 Jul 2023
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 24 6 0 06 Jun 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features Simone Bombari Marco Mondelli AAML 19 4 0 20 May 2023
Local Intrinsic Dimensional Entropy Rohan Ghosh Mehul Motani 23 2 0 05 Apr 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning Prashant Bhat Bahram Zonooz Elahe Arani CLL 18 24 0 14 Feb 2023
On the Lipschitz Constant of Deep Networks and Double Descent Matteo Gamba Hossein Azizpour Marten Bjorkman 25 7 0 28 Jan 2023
Subsidiary Prototype Alignment for Universal Domain Adaptation Jogendra Nath Kundu Suvaansh Bhambri Akshay Ravindra Kulkarni Hiran Sarkar Varun Jampani R. Venkatesh Babu 37 21 0 28 Oct 2022
Categorizing Semantic Representations for Neural Machine Translation Yongjing Yin Yafu Li Fandong Meng Jie Zhou Yue Zhang 24 6 0 13 Oct 2022
Memory in humans and deep language models: Linking hypotheses for model augmentation Omri Raccah Pheobe Chen Ted Willke David Poeppel Vy A. Vo RALM 13 1 0 04 Oct 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting Zhengqi He Zeke Xie Quanzhi Zhu Zengchang Qin 69 27 0 17 Jun 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 19 11 0 19 Apr 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation Jogendra Nath Kundu Akshay Ravindra Kulkarni Suvaansh Bhambri Varun Jampani R. Venkatesh Babu 39 11 0 09 Feb 2022
Detecting danger in gridworlds using Gromov's Link Condition Thomas F Burns R. Tang AI4CE 15 2 0 17 Jan 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 242 592 0 14 Jul 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 36 155 0 17 Jun 2021
Editing Factual Knowledge in Language Models Nicola De Cao Wilker Aziz Ivan Titov KELM 45 473 0 16 Apr 2021