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Techniques

9,432 papers (36 classified directly here)

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Papers (including subtopics)

Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021 Self Supervision for Attention Networks WACV 2021 Semantic Answer Similarity for Evaluating Question Answering Models EMNLP 2021 SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation ACL 2021 SemiHand: Semi-Supervised Hand Pose Estimation With Consistency ICCV 2021 Sentence-Permuted Paragraph Generation EMNLP 2021 SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & Relocalization CoRL 2021 SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix ICCV 2021 Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations EMNLP 2021 Shallow Convolution-Augmented Transformer with Differentiable Neural Computer for Low-Complexity Classification of Variable-Length Acoustic Scene Interspeech 2021 Shape and Material Capture at Home CVPR 2021 SHAPE: Shifted Absolute Position Embedding for Transformers EMNLP 2021 Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices NeurIPS 2021 Sharpness-aware Minimization for Efficiently Improving Generalization ICLR 2021 Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching AAAI 2021 Shrinking Bigfoot: Reducing wav2vec 2.0 footprint EMNLP 2021 SIGNET: Efficient Neural Representation for Light Fields ICCV 2021 SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks ICML 2021 Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps AAAI 2021 Single-dataset Experts for Multi-dataset Question Answering EMNLP 2021 Skim-Attention: Learning to Focus via Document Layout EMNLP 2021 Skip-Convolutions for Efficient Video Processing CVPR 2021 SkipW: Resource Adaptable RNN with Strict Upper Computational Limit ICLR 2021 SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection SemEval 2021 Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages EMNLP 2021