sxjscience / automl_multimodal_benchmarkLinks
Repository for Multimodal AutoML Benchmark
☆65Updated 3 years ago
Alternatives and similar repositories for automl_multimodal_benchmark
Users that are interested in automl_multimodal_benchmark are comparing it to the libraries listed below
Sorting:
- Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".☆65Updated 4 years ago
- Uncertainty-aware Self-training☆121Updated last year
- ECLARE: Extreme Classification with Label Graph Correlations☆42Updated 3 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆57Updated 4 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆61Updated 2 years ago
- Learning to Rank in PyTorch☆90Updated last year
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆63Updated 5 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆65Updated 3 years ago
- EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples☆24Updated 4 years ago
- ☆18Updated 3 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆43Updated 6 months ago
- ☆67Updated 2 years ago
- ☆97Updated 2 years ago
- Implementation of Mixout with PyTorch☆75Updated 2 years ago
- PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.☆62Updated 3 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Updated 4 years ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"☆64Updated 3 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆46Updated 4 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- ☆89Updated 4 months ago
- Code for the PAPA paper☆27Updated 2 years ago
- Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from hu…☆43Updated 4 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Pytorch implementation of "Block Recurrent Transformers" (Hutchins & Schlag et al., 2022)☆85Updated 3 years ago
- Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)☆145Updated 3 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago