IamHuijben / gumbel_softmax_samplingLinks
☆11Updated 3 years ago
Alternatives and similar repositories for gumbel_softmax_sampling
Users that are interested in gumbel_softmax_sampling are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Updated 5 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- Learning to Model Editing Processes☆26Updated 3 years ago
- Pretraining summarization models using a corpus of nonsense☆13Updated 3 years ago
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆57Updated 2 years ago
- Blog post☆17Updated last year
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆33Updated 2 weeks ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Updated 2 years ago
- lanmt ebm☆12Updated 5 years ago
- ☆12Updated 3 years ago
- ☆20Updated last year
- Variable-order CRFs with structure learning☆16Updated 10 months ago
- An interactive tool for analyzing, executing, and improving dynamic programming algorithms.☆13Updated 10 months ago
- ☆32Updated last year
- ☆14Updated 6 years ago
- A method for evaluating the high-level coherence of machine-generated texts. Identifies high-level coherence issues in transformer-based …☆11Updated 2 years ago
- Implementation for "Rational Recurrences", Peng et al., EMNLP 2018.☆28Updated 3 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆75Updated last year
- Recursive Bayesian Networks☆11Updated last month
- Minimum Description Length probing for neural network representations☆18Updated 4 months ago
- [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf☆24Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- Efficient Scaling laws and collaborative pretraining.☆16Updated 4 months ago
- ☆22Updated 3 years ago
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Updated 2 years ago
- No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)☆30Updated 3 years ago
- Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)☆12Updated last year
- Official Implementation of ACL2023: Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span …☆13Updated last year
- Differentiable Perturb-and-Parse operator☆25Updated 6 years ago
- ☆22Updated 2 years ago