huanranchen / Visualize-Loss-LandscapeView external linksLinks
Respect to the input tensor instead of paramters of NN
☆21Jul 18, 2022Updated 3 years ago
Alternatives and similar repositories for Visualize-Loss-Landscape
Users that are interested in Visualize-Loss-Landscape are comparing it to the libraries listed below
Sorting:
- 这里陈列了我编写的一些 关于深度学习的画图工具，如果觉得有帮助可以给个star.☆43Aug 13, 2022Updated 3 years ago
- ☆25May 31, 2024Updated last year
- Document the demo and a series of documents for learning the diffusion model.☆42Jun 29, 2023Updated 2 years ago
- A package that achieves 95%+ transfer attack success rate against GPT-4☆26Oct 24, 2024Updated last year
- ☆80Jul 23, 2024Updated last year
- [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning☆10Oct 29, 2024Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- A modular framework designed for easy experimentation with optimization-based diffusion sampling algorithms.☆17Apr 9, 2025Updated 10 months ago
- ☆17Jun 14, 2024Updated last year
- This repository is the official implementation of StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model☆20Jul 30, 2024Updated last year
- [ICML 2022] This is the pytorch implementation of "Rethinking Attention-Model Explainability through Faithfulness Violation Test" (https:…☆20Jul 21, 2022Updated 3 years ago
- ☆23Nov 16, 2024Updated last year
- Project for NeurIPS'22 Dataset Track Paper: Breaking Bad Dataset☆17Sep 29, 2024Updated last year
- We propose a statistical consistency attack (StatAttack) against diverse DeepFake detectors.☆18Aug 16, 2023Updated 2 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 2 years ago
- ICLR 2023 and ICML 2023 paper☆23Sep 16, 2024Updated last year
- Corresponding Code to the Paper "Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets"☆27Sep 11, 2024Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆81Feb 24, 2025Updated 11 months ago
- The official repository of NeurIPS'25 paper "Ada-R1: From Long-Cot to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization"☆21Nov 9, 2025Updated 3 months ago
- [CVPR'25] CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI☆37Jan 8, 2026Updated last month
- Official code implement of Robust Classification via a Single Diffusion Model☆96Mar 7, 2025Updated 11 months ago
- ☆53Jan 6, 2024Updated 2 years ago
- NeurIPS'24 - LLM Safety Landscape☆39Oct 21, 2025Updated 3 months ago
- The loss landscape of Large Language Models resemble basin!☆36Jul 8, 2025Updated 7 months ago
- ICCV2023, NeRDF: Efficient View Synthesis with Neural Radiance Distribution Field☆23Dec 4, 2023Updated 2 years ago
- The offical implement of ImbSAM (Imbalanced-SAM)☆26Mar 4, 2024Updated last year
- Repository for the code of "PoissonNet: Resolution-Agnostic 3D Shape Reconstruction using Fourier Neural Operators"☆63Dec 2, 2023Updated 2 years ago
- [ICLR2025] IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis☆39Feb 17, 2025Updated 11 months ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Dec 15, 2022Updated 3 years ago
- ☆28Jun 12, 2023Updated 2 years ago
- ☆11Dec 23, 2024Updated last year
- [NeurIPS 2023] Content-based Unrestricted Adversarial Attack☆31Jul 21, 2025Updated 6 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆136Nov 15, 2024Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29May 27, 2025Updated 8 months ago
- [NeurIPS 2023] Codes for DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification☆39Feb 29, 2024Updated last year
- [CVPR'2022 Oral] The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation☆32Oct 19, 2023Updated 2 years ago
- Code for our CVPR'23 paper: "Polynomial Implicit Neural Representations For Large Diverse Datasets"☆39May 29, 2023Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- Video Visual Relation Detection (VidVRD) tracklets generation. also for ACM MM Visual Relation Understanding Grand Challenge☆39Dec 5, 2022Updated 3 years ago