conftrace_

Application Areas

31,658 papers (3 classified directly here)

Subtopics

Domain Adaptation (8,962) Efficient Computing (6,898) Data Augmentation (3,720) Fairness (3,511) Knowledge Distillation (3,086) Privacy (2,847) Domain Generalization (1,834) Model Compression (1,718) Risk Management (1,064) Model Merging (558) Recommender Systems (315) Information Retrieval (244) Text Classification (139) Text Processing (5)

Papers per year

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Papers (including subtopics)

Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems EMNLP 2021
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling EMNLP 2021
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021
Value-aware Approximate Attention EMNLP 2021
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora EMNLP 2021
Uncovering Main Causalities for Long-tailed Information Extraction EMNLP 2021
Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021
Jointly Learning to Repair Code and Generate Commit Message EMNLP 2021
Inflate and Shrink:Enriching and Reducing Interactions for Fast Text-Image Retrieval EMNLP 2021
HypMix: Hyperbolic Interpolative Data Augmentation EMNLP 2021
Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender EMNLP 2021
Assessing the Reliability of Word Embedding Gender Bias Measures EMNLP 2021
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders EMNLP 2021
AUTOSUMM: Automatic Model Creation for Text Summarization EMNLP 2021
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts EMNLP 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021
Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing EMNLP 2021
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement EMNLP 2021
Reducing Discontinuous to Continuous Parsing with Pointer Network Reordering EMNLP 2021
What to Pre-Train on? Efficient Intermediate Task Selection EMNLP 2021
Block Pruning For Faster Transformers EMNLP 2021
Finetuning Pretrained Transformers into RNNs EMNLP 2021
How to Train BERT with an Academic Budget EMNLP 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression EMNLP 2021
Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large EMNLP 2021