aryol / inductive-scratchpadLinks
Implementation for our paper "How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad"
☆11Updated 11 months ago
Alternatives and similar repositories for inductive-scratchpad
Users that are interested in inductive-scratchpad are comparing it to the libraries listed below
Sorting:
- ☆22Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆37Updated 2 years ago
- ☆32Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆21Updated last year
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 3 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year
- ☆67Updated 6 months ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆82Updated 2 years ago
- ☆9Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated last year
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- ☆37Updated 10 months ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- ☆53Updated 8 months ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- ☆16Updated 2 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆34Updated 11 months ago
- ☆15Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- ☆13Updated 2 years ago
- An adaptive training algorithm for residual network☆15Updated 4 years ago