| Finding the Dominant Winning Ticket in Pre-Trained Language Models | 0 | 0.34 | 2022 |
| ALLSH: Active Learning Guided by Local Sensitivity and Hardness. | 0 | 0.34 | 2022 |
| A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models | 0 | 0.34 | 2022 |
| MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation | 0 | 0.34 | 2022 |
| PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. | 0 | 0.34 | 2022 |
| DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation | 0 | 0.34 | 2022 |
| CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing | 0 | 0.34 | 2022 |
| Controllable Natural Language Generation with Contrastive Prefixes | 0 | 0.34 | 2022 |
| No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models | 0 | 0.34 | 2022 |
| LoRA: Low-Rank Adaptation of Large Language Models | 0 | 0.34 | 2022 |
| OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering | 0 | 0.34 | 2022 |
| Adversarial Retriever-Ranker for Dense Text Retrieval. | 0 | 0.34 | 2022 |
| What Makes Good In-Context Examples for GPT-3? | 0 | 0.34 | 2022 |
| TAPEX: Table Pre-training via Learning a Neural SQL Executor | 0 | 0.34 | 2022 |
| XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge. | 0 | 0.34 | 2022 |
| A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation | 0 | 0.34 | 2022 |
| Token-wise Curriculum Learning for Neural Machine Translation. | 0 | 0.34 | 2021 |
| MixKD: Towards Efficient Distillation of Large-scale Language Models | 0 | 0.34 | 2021 |
| Adversarial Regularization as Stackelberg Game - An Unrolled Optimization Approach. | 0 | 0.34 | 2021 |
| GLGE - A New General Language Generation Evaluation Benchmark. | 0 | 0.34 | 2021 |
| Poolingformer: Long Document Modeling with Pooling Attention | 0 | 0.34 | 2021 |
| Few-Shot Named Entity Recognition - An Empirical Baseline Study. | 0 | 0.34 | 2021 |
| BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining | 0 | 0.34 | 2021 |
| Finetuning Pretrained Transformers into RNNs. | 0 | 0.34 | 2021 |
| ARCH - Efficient Adversarial Regularized Training with Caching. | 0 | 0.34 | 2021 |
| NeurIPS 2020 EfficientQA Competition - Systems, Analyses and Lessons Learned. | 0 | 0.34 | 2021 |
| Memory-Efficient Differentiable Transformer Architecture Search. | 0 | 0.34 | 2021 |
| Reader-Guided Passage Reranking for Open-Domain Question Answering. | 0 | 0.34 | 2021 |
| Contextual Bandit Applications in a Customer Support Bot | 1 | 0.43 | 2021 |
| DeBERTa: Decoding-enhanced BERT with Disentangled Attention | 0 | 0.34 | 2021 |
| On the Variance of the Adaptive Learning Rate and Beyond | 4 | 0.43 | 2020 |
| Understanding the Difficulty of Training Transformers. | 0 | 0.34 | 2020 |
| Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. | 0 | 0.34 | 2020 |
| The Microsoft Toolkit Of Multi-Task Deep Neural Networks For Natural Language Understanding | 0 | 0.34 | 2020 |
| Parameter-free Sentence Embedding via Orthogonal Basis | 1 | 0.35 | 2019 |
| Lessons from Real-World Reinforcement Learning in a Customer Support Bot. | 0 | 0.34 | 2019 |
| Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. | 1 | 0.35 | 2019 |
| Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding. | 4 | 0.39 | 2019 |
| Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. | 2 | 0.36 | 2018 |
| Zero-training Sentence Embedding via Orthogonal Basis. | 0 | 0.34 | 2018 |
| IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles. | 2 | 0.36 | 2018 |
| Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization. | 1 | 0.36 | 2017 |
| FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension. | 18 | 0.66 | 2017 |
| ReasoNet: Learning to Stop Reading in Machine Comprehension. | 64 | 2.10 | 2016 |
| Large-scale L-BFGS using MapReduce. | 12 | 0.75 | 2014 |
| Transfer Understanding from Head Queries to Tail Queries | 6 | 0.40 | 2014 |
| Beyond ten blue links: enabling user click modeling in federated web search | 36 | 0.99 | 2012 |
| A noise-aware click model for web search | 10 | 0.56 | 2012 |
| Personalized click model through collaborative filtering | 27 | 0.88 | 2012 |
| Short text conceptualization using a probabilistic knowledgebase | 96 | 3.22 | 2011 |
