A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
☆401May 19, 2026Updated last week
Alternatives and similar repositories for awesome-deep-phenomena
Users that are interested in awesome-deep-phenomena are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of trustworthy deep learning papers. Continually updating...☆386May 22, 2026Updated last week
- [ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"☆18Feb 20, 2025Updated last year
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆211Apr 13, 2026Updated last month
- ☆76Dec 7, 2024Updated last year
- Welcome to the 'In Context Learning Theory' Reading Group☆31Nov 8, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆62Jul 19, 2022Updated 3 years ago
- Pytorch routines for (Ker)nel (Mac)hines☆12Oct 10, 2025Updated 7 months ago
- ☆13Mar 29, 2024Updated 2 years ago
- NeurIPS'24 - LLM Safety Landscape☆40Oct 21, 2025Updated 7 months ago
- Neural Tangent Kernel Papers☆122Jan 12, 2025Updated last year
- A curated list of awesome Deep Learning theories that shed light on the mysteries of DL☆10Jul 20, 2018Updated 7 years ago
- awesome papers in LLM interpretability☆620Aug 20, 2025Updated 9 months ago
- [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"☆19Oct 19, 2023Updated 2 years ago
- Official PyTorch code for ICLR 2025 paper "Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models"☆23Mar 4, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆47Oct 12, 2022Updated 3 years ago
- A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..☆306Jan 22, 2026Updated 4 months ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆396Feb 12, 2026Updated 3 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆61May 11, 2021Updated 5 years ago
- [ICML 2024] Code release for "On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm"☆11Feb 20, 2025Updated last year
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆299Apr 10, 2024Updated 2 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆29Sep 22, 2023Updated 2 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆30Oct 27, 2023Updated 2 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Oct 10, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆16Feb 4, 2025Updated last year
- A curated list of awesome papers on dataset distillation and related applications.☆1,933May 19, 2026Updated last week
- ☆34Jan 25, 2024Updated 2 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆33Apr 24, 2023Updated 3 years ago
- ☆18Mar 23, 2025Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆113Jun 8, 2023Updated 2 years ago
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆16Jul 27, 2023Updated 2 years ago
- ☆245May 10, 2024Updated 2 years ago
- Collection of Reverse Engineering in Large Model☆36Jan 8, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Jun 14, 2022Updated 3 years ago
- Visualization of mean field and neural tangent kernel regime☆23Jul 25, 2024Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆96Aug 7, 2023Updated 2 years ago
- Minimal open-source implementation of AlphaProof and HyperTree Proof Search.☆87May 13, 2026Updated 2 weeks ago
- ☆37Feb 4, 2022Updated 4 years ago
- Example code for the NNGeometry PyTorch library☆10Aug 20, 2025Updated 9 months ago
- [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction☆88May 26, 2025Updated last year