Direct multimodal few-shot learning of speech and images Dec 10, 2020 Few-Shot Learning Transfer Learning
Code Code Available Probing Few-Shot Generalization with Attributes Dec 10, 2020 Attribute Few-Shot Learning
— Unverified Are Fewer Labels Possible for Few-shot Learning? Dec 10, 2020 Clustering Few-Shot Learning
— Unverified Fine-grained Angular Contrastive Learning with Coarse Labels Dec 7, 2020 Contrastive Learning Few-Shot Learning
Code Code Available Batch Group Normalization Dec 4, 2020 Domain Adaptation Few-Shot Learning
— Unverified RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation Dec 4, 2020 All Decoder
— Unverified Meta-Generating Deep Attentive Metric for Few-shot Classification Dec 3, 2020 Classification Few-Shot Learning
Code Code Available SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning Dec 3, 2020 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Few-Shot Classification with Feature Map Reconstruction Networks Dec 2, 2020 Classification Cross-Domain Few-Shot
Code Code Available A Study of Few-Shot Audio Classification Dec 2, 2020 Audio Classification BIG-bench Machine Learning
— Unverified ReMP: Rectified Metric Propagation for Few-Shot Learning Dec 2, 2020 Few-Shot Learning
— Unverified COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning Dec 1, 2020 Few-Shot Learning
— Unverified Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization Dec 1, 2020 Abstractive Text Summarization Document Summarization
Code Code Available A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification Dec 1, 2020 Few-Shot Learning Few-Shot Relation Classification
— Unverified TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching Dec 1, 2020 Few-Shot Learning Language Modeling
Code Code Available Effective Few-Shot Classification with Transfer Learning Dec 1, 2020 Classification Few-Shot Learning
— Unverified How to fine-tune deep neural networks in few-shot learning? Dec 1, 2020 Deep Learning Few-Shot Learning
— Unverified MATE: Plugging in Model Awareness to Task Embedding for Meta Learning Dec 1, 2020 feature selection Few-Shot Learning
Code Code Available OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification Dec 1, 2020 Few-Shot Learning General Classification
— Unverified A Closer Look at the Training Strategy for Modern Meta-Learning Dec 1, 2020 Few-Shot Learning Meta-Learning
Code Code Available Information Maximization for Few-Shot Learning Dec 1, 2020 Few-Shot Learning Meta-Learning
Code Code Available Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Nov 30, 2020 Few-Shot Image Classification Few-Shot Learning
Code Code Available Multi-scale Adaptive Task Attention Network for Few-Shot Learning Nov 30, 2020 Few-Shot Image Classification Few-Shot Learning
— Unverified Feature Learning in Infinite-Width Neural Networks Nov 30, 2020 Few-Shot Learning Transfer Learning
Code Code Available Annotation-Efficient Untrimmed Video Action Recognition Nov 30, 2020 Action Recognition Contrastive Learning
— Unverified BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Nov 29, 2020 Few-Shot Learning Fine-Grained Image Classification
Code Code Available Is Support Set Diversity Necessary for Meta-Learning? Nov 28, 2020 Diversity Few-Shot Learning
— Unverified IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound Nov 26, 2020 Decoder Few-Shot Learning
Code Code Available How Well Do Self-Supervised Models Transfer? Nov 26, 2020 Classifier calibration Few-Shot Learning
Code Code Available Data-Efficient Classification of Radio Galaxies Nov 26, 2020 Classification Few-Shot Learning
Code Code Available Match Them Up: Visually Explainable Few-shot Image Classification Nov 25, 2020 Classification Few-Shot Image Classification
Code Code Available RNNP: A Robust Few-Shot Learning Approach Nov 22, 2020 Few-Shot Learning
— Unverified An Effective Anti-Aliasing Approach for Residual Networks Nov 20, 2020 Few-Shot Learning image-classification
— Unverified Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Nov 19, 2020 Data Augmentation Few-Shot Learning
— Unverified Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation Nov 19, 2020 Few-Shot Learning Image Segmentation
— Unverified Multimodal Prototypical Networks for Few-shot Learning Nov 17, 2020 Classification Few-Shot Learning
— Unverified Probing Predictions on OOD Images via Nearest Categories Nov 17, 2020 Adversarial Robustness Few-Shot Learning
Code Code Available In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories Nov 13, 2020 Few-Shot Learning General Classification
— Unverified Zero-shot Relation Classification from Side Information Nov 13, 2020 Classification Few-Shot Learning
Code Code Available A Nested Bi-level Optimization Framework for Robust Few Shot Learning Nov 13, 2020 Few-Shot Learning Meta-Learning
— Unverified FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography Nov 11, 2020 Domain Adaptation Few-Shot Learning
— Unverified Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance Nov 9, 2020 Few-Shot Learning Intrusion Detection
— Unverified A Broad Dataset is All You Need for One-Shot Object Detection Nov 9, 2020 All Few-Shot Learning
— Unverified Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement Nov 6, 2020 Contrastive Learning Few-Shot Learning
Code Code Available Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization Nov 4, 2020 Few-Shot Learning
Code Code Available CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search Nov 3, 2020 Domain Adaptation Few-Shot Learning
Code Code Available Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Nov 3, 2020 Contrastive Learning Data Augmentation
Code Code Available The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT Nov 1, 2020 Few-Shot Learning Machine Translation
— Unverified Regularization of Distinct Strategies for Unsupervised Question Generation Nov 1, 2020 Few-Shot Learning Question Answering
Code Code Available Meta-Learning with Adaptive Hyperparameters Oct 31, 2020 Few-Shot Learning Meta-Learning
Code Code Available 