translation of VHL repo in paddle
☆25Jun 28, 2023Updated 3 years ago
Alternatives and similar repositories for VHL-paddle
Users that are interested in VHL-paddle are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆24Jun 28, 2023Updated 3 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆35Nov 10, 2023Updated 2 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆21Nov 10, 2023Updated 2 years ago
- [ICLR 2026] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"☆60Feb 4, 2026Updated 9 months ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 3 years ago
- 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 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 3 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆15Feb 15, 2025Updated last year
- [ICML 2024] PyTorch implementation for "Diversified Batch Selection for Training Acceleration"☆10Jul 30, 2024Updated 2 years ago
- [ICLR2026] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"☆30Feb 4, 2026Updated 9 months ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 3 years ago
- ☆23Sep 1, 2026Updated 2 months ago
- [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"☆58Apr 21, 2023Updated 3 years ago
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆14Mar 31, 2025Updated last year
- [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"☆11Nov 15, 2024Updated 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.
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆122Aug 28, 2023Updated 3 years ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 4 years ago
- [ICML2022] Contrastive Learning with Boosted Memorization☆111Jan 28, 2024Updated 2 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Feb 15, 2025Updated last year
- ☆12Nov 10, 2025Updated 11 months ago
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆14Feb 11, 2025Updated last year
- [ICML 2024 Spotlight] "Sample-specific Masks for Visual Reprogramming-based Prompting"☆12Dec 20, 2024Updated last year
- This is a repository for paper titled, PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Plann…☆14Nov 3, 2023Updated 3 years ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆18Feb 27, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Jul 7, 2023Updated 3 years ago
- Pretrained models for "What Makes Instance Discrimination Good for Transfer Learning?".☆29Jul 13, 2022Updated 4 years ago
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆41Oct 15, 2024Updated 2 years ago
- popular concept drift evaluation datasets☆11Jun 8, 2019Updated 7 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 4 years ago
- [ICML 2025] "From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium"☆44Nov 23, 2025Updated 11 months ago
- Codebase for the EMNLP 2021 paper "HittER: Hierarchical Transformers for Knowledge Graph Embeddings".☆12Nov 1, 2021Updated 5 years ago
- [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"☆48Oct 8, 2025Updated last year
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆24Feb 21, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Phase-aware Adversarial Defense for Improving Adversarial Robustness☆11Oct 12, 2023Updated 3 years ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆225Aug 25, 2026Updated 2 months ago
- This is the PyTorch Implementation for our model VRKG4Rec (WSDM'23)☆19Mar 30, 2023Updated 3 years ago
- ☆14Jul 29, 2023Updated 3 years ago
- ICLR 2026☆48May 29, 2026Updated 5 months ago
- A curated list of resources for graph prompting methods☆30Jan 23, 2024Updated 2 years ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆15Apr 18, 2022Updated 4 years ago