Thinklab-SJTU / BiLAF
Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"
☆11Updated 2 months ago
Alternatives and similar repositories for BiLAF:
Users that are interested in BiLAF are comparing it to the libraries listed below
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆19Updated 2 weeks ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆20Updated last year
- [NeurIPS2024] Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization; [N…☆10Updated 2 weeks ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆41Updated last week
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆11Updated 9 months ago
- [NeurIPS 2023] Code release for "Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity"☆17Updated last year
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 5 months ago
- ☆12Updated last year
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆19Updated 2 years ago
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…☆12Updated 3 months ago
- [IJCAI 2023] Black-box Prompt Tuning for Vision-Language Model as a Service☆17Updated last year
- ICLR 2022 paper☆15Updated 2 years ago
- Code for "Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective"☆19Updated last year
- [NeurIPS 2022 Spotlight] Improving Generative Adversarial Networks via Adversarial Learning in Latent Space☆17Updated 2 years ago
- ☆13Updated 2 years ago
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated 9 months ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆18Updated last year
- [Preprint] Graph State Space Convolution (GSSC)☆14Updated 10 months ago
- Awesome papers in machine learning theory☆11Updated 3 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆35Updated last year
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 2 years ago
- ☆14Updated 2 years ago
- ThinK: Thinner Key Cache by Query-Driven Pruning☆18Updated 2 months ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆59Updated 5 months ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆39Updated last year
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- What Makes a Reward Model a Good Teacher? An Optimization Perspective☆20Updated 2 weeks ago
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆33Updated 3 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago