Conditional Deep Gaussian Processes: multi-fidelity kernel learning Feb 7, 2020 Few-Shot Learning Gaussian Processes
Code Code Available Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Feb 6, 2020 Domain Adaptation Few-Shot Image Classification
— Unverified Revisiting Meta-Learning as Supervised Learning Feb 3, 2020 Data Augmentation Few-Shot Learning
— Unverified Asymmetric Distribution Measure for Few-shot Learning Feb 1, 2020 Few-Shot Image Classification Few-Shot Learning
— Unverified Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings Jan 26, 2020 Few-Shot Learning Object
— Unverified Continual Local Replacement for Few-shot Learning Jan 23, 2020 Few-Shot Learning General Classification
— Unverified Fine-grained Image-to-Image Transformation towards Visual Recognition Jan 12, 2020 Few-Shot Learning Fine-Grained Image Recognition
— Unverified Few-shot Action Recognition with Permutation-invariant Attention Jan 12, 2020 Action Recognition Few-Shot action recognition
Code Code Available Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Jan 11, 2020 BIG-bench Machine Learning Causal Discovery
Code Code Available Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer Jan 6, 2020 Deblurring Few-Shot Learning
— Unverified Diversity Transfer Network for Few-Shot Learning Dec 31, 2019 Diversity Few-Shot Learning
Code Code Available FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers Dec 29, 2019 Data Augmentation Few-Shot Learning
— Unverified Variational Metric Scaling for Metric-Based Meta-Learning Dec 26, 2019 Few-Shot Learning Meta-Learning
Code Code Available Measuring Dataset Granularity Dec 21, 2019 Clustering Few-Shot Learning
Code Code Available Identity Document to Selfie Face Matching Across Adolescence Dec 20, 2019 Few-Shot Learning Triplet
— Unverified Unsupervised Few-shot Learning via Self-supervised Training Dec 20, 2019 BIG-bench Machine Learning Clustering
— Unverified Dependable Neural Networks for Safety Critical Tasks Dec 20, 2019 Autonomous Vehicles Domain Adaptation
— Unverified TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning Dec 19, 2019 Few-Shot Learning Meta-Learning
— Unverified Meta-Learning Initializations for Image Segmentation Dec 13, 2019 Bayesian Optimization Few-Shot Image Classification
Code Code Available Towards Contextual Learning in Few-shot Object Classification Dec 13, 2019 Classification Few-Shot Learning
— Unverified CLOSURE: Assessing Systematic Generalization of CLEVR Models Dec 12, 2019 Few-Shot Learning Systematic Generalization
Code Code Available A Two-Stage Approach to Few-Shot Learning for Image Recognition Dec 10, 2019 Few-Shot Learning General Classification
— Unverified Improved Few-Shot Visual Classification Dec 7, 2019 Classification Few-Shot Image Classification
— Unverified Revisiting Few-Shot Learning for Facial Expression Recognition Dec 5, 2019 Facial Expression Recognition Facial Expression Recognition (FER)
— Unverified Efficient Meta Learning via Minibatch Proximal Update Dec 1, 2019 Few-Shot Learning Meta-Learning
— Unverified Learning to Learn By Self-Critique Dec 1, 2019 Few-Shot Learning Meta-Learning
Code Code Available MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Dec 1, 2019 Classification Few-Shot Learning
— Unverified SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies Dec 1, 2019 continuous-control Continuous Control
Code Code Available Unlocking the Full Potential of Small Data with Diverse Supervision Nov 29, 2019 Few-Shot Learning Representation Learning
Code Code Available VIABLE: Fast Adaptation via Backpropagating Learned Loss Nov 29, 2019 Few-Shot Learning Meta-Learning
— Unverified A Unified Framework for Lifelong Learning in Deep Neural Networks Nov 28, 2019 Few-Shot Learning Lifelong learning
— Unverified Learning Multi-level Weight-centric Features for Few-shot Learning Nov 28, 2019 Few-Shot Learning
— Unverified Generalized Adaptation for Few-Shot Learning Nov 25, 2019 Few-Shot Image Classification Few-Shot Learning
— Unverified Prototype Rectification for Few-Shot Learning Nov 25, 2019 Few-Shot Image Classification Few-Shot Learning
— Unverified Facial Landmark Correlation Analysis Nov 24, 2019 Facial Landmark Detection Few-Shot Learning
— Unverified Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning Nov 24, 2019 Few-Shot Learning Meta-Learning
— Unverified Meta Adaptation using Importance Weighted Demonstrations Nov 23, 2019 Diversity Few-Shot Learning
— Unverified Differentiable Meta-learning Model for Few-shot Semantic Segmentation Nov 23, 2019 Few-Shot Learning Few-Shot Semantic Segmentation
— Unverified Knowledge Graph Transfer Network for Few-Shot Recognition Nov 21, 2019 Few-Shot Image Classification Few-Shot Learning
Code Code Available A Conceptual Framework for Lifelong Learning Nov 21, 2019 Continual Learning Few-Shot Learning
— Unverified Learning to Control Latent Representations for Few-Shot Learning of Named Entities Nov 19, 2019 Few-Shot Learning Management
— Unverified Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test Nov 18, 2019 Few-Shot Learning Program Synthesis
Code Code Available Defensive Few-shot Learning Nov 16, 2019 Adversarial Defense Few-Shot Learning
Code Code Available Self-Supervised Learning For Few-Shot Image Classification Nov 14, 2019 Classification Cross-Domain Few-Shot
Code Code Available Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling Nov 12, 2019 Continual Learning Few-Shot Learning
— Unverified Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines Nov 10, 2019 Few-Shot Learning Language Modeling
Code Code Available Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks Nov 10, 2019 Diversity Entity Typing
Code Code Available On-Device Machine Learning: An Algorithms and Learning Theory Perspective Nov 2, 2019 BIG-bench Machine Learning Few-Shot Learning
— Unverified Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events Oct 30, 2019 Few-Shot Learning Metric Learning
— Unverified A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation Oct 30, 2019 Few-Shot Learning Sentence
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