craffel / comp790-deep-learning-spring-2022
Course repository for the Spring 2022 COMP790 course "Deep Learning" at UNC
☆18Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for comp790-deep-learning-spring-2022
- Course repository for the Spring 2023 COMP664 course "Deep Learning" at UNC☆14Updated last year
- Few-shot Learning with Auxiliary Data☆26Updated 11 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆38Updated 6 months ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated last year
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 3 years ago
- Course repository for the Spring COMP790 course "Deep Learning" at UNC☆23Updated 2 years ago
- ☆27Updated last year
- Course materials for 11-767☆13Updated 2 years ago
- A multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies.☆17Updated 3 years ago
- Recycling diverse models☆43Updated last year
- Adding new tasks to T0 without catastrophic forgetting☆30Updated 2 years ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- Code for the paper "Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots" (NAACL-HLT 2021)☆10Updated 2 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 3 years ago
- Measuring if attention is explanation with ROAR☆22Updated last year
- ☆59Updated 2 years ago
- Embedding Recycling for Language models☆38Updated last year
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- This is the official PyTorch repo for "UNIREX: A Unified Learning Framework for Language Model Rationale Extraction" (ICML 2022).☆23Updated last year
- Ranking of fine-tuned HF models as base models.☆35Updated last year
- ☆85Updated last year
- ☆26Updated last year
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆33Updated 4 years ago
- ☆14Updated 7 months ago
- [ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators☆24Updated last year
- Generating and validating natural-language explanations.☆41Updated this week
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 3 years ago
- Finding semantically meaningful and accurate prompts.☆46Updated last year
- opentqa is a open framework of the textbook question answering, which includes xtqa, mcan, cmr, mfb, mutan.☆11Updated 3 years ago