Pinned Repositories
bleurt
BLEURT is a metric for Natural Language Generation based on transfer learning.
DuaLUG
The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)
fast-transformers
Pytorch library for fast transformer implementations
HFC
Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
injecting_numeracy
The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2020).
KGPT
Code and Data for EMNLP2020 Paper "KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation"
lookahead
Implementation for the Lookahead Optimizer.
loss_dropper
nanoGCG
A fast + lightweight implementation of the GCG algorithm in PyTorch
numerizer
A Python module to convert natural language numerics into ints and floats.
robustgen's Repositories
robustgen/bleurt
BLEURT is a metric for Natural Language Generation based on transfer learning.
robustgen/DuaLUG
The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)
robustgen/fast-transformers
Pytorch library for fast transformer implementations
robustgen/HFC
Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
robustgen/injecting_numeracy
The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2020).
robustgen/KGPT
Code and Data for EMNLP2020 Paper "KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation"
robustgen/lookahead
Implementation for the Lookahead Optimizer.
robustgen/loss_dropper
robustgen/nanoGCG
A fast + lightweight implementation of the GCG algorithm in PyTorch
robustgen/numerizer
A Python module to convert natural language numerics into ints and floats.
robustgen/perfect
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
robustgen/robustness_metrics
robustgen/SentAugment
SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in combination with self-training and knowledge-distillation, or for retrieving paraphrases.
robustgen/sparse_text_generation
robustgen/vision_transformer