{"total":461,"rows":[{"id":"2212.07677","title":"Transformers learn in-context by gradient descent","created":"2022-12-15","cited_by_count":732,"area":null},{"id":"2204.07305","title":"Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference","created":"2022-04-15","cited_by_count":126,"area":null},{"id":"2112.15121","title":"On the Role of Neural Collapse in Transfer Learning","created":"2021-12-30","cited_by_count":100,"area":null},{"id":"2207.11549","title":"Self-Support Few-Shot Semantic Segmentation","created":"2022-07-23","cited_by_count":96,"area":null},{"id":"2202.00665","title":"Tutorial on amortized optimization","created":"2022-02-01","cited_by_count":83,"area":null},{"id":"2107.00358","title":"Cross-domain Few-shot Learning with Task-specific Adapters","created":"2021-07-01","cited_by_count":80,"area":null},{"id":"2103.15158","title":"Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection","created":"2021-03-28","cited_by_count":77,"area":null},{"id":"2108.09666","title":"Relational Embedding for Few-Shot Classification","created":"2021-08-22","cited_by_count":74,"area":null},{"id":"2102.03983","title":"Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning","created":"2021-02-08","cited_by_count":72,"area":null},{"id":"2107.07170","title":"FLEX: Unifying Evaluation for Few-Shot NLP","created":"2021-07-15","cited_by_count":67,"area":null},{"id":"2307.04722","title":"Advances and Challenges in Meta-Learning: A Technical Review","created":"2023-07-10","cited_by_count":65,"area":null},{"id":"2103.01315","title":"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning","created":"2021-03-01","cited_by_count":56,"area":null},{"id":"2104.07841","title":"Pareto Self-Supervised Training for Few-Shot Learning","created":"2021-04-16","cited_by_count":52,"area":null},{"id":"2107.07746","title":"Rectifying the Shortcut Learning of Background for Few-Shot Learning","created":"2021-07-16","cited_by_count":51,"area":null},{"id":"2106.07807","title":"Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data","created":"2021-06-14","cited_by_count":50,"area":null},{"id":"2106.09017","title":"Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation","created":"2021-06-16","cited_by_count":50,"area":null},{"id":"2202.01889","title":"Generalizing to New Physical Systems via Context-Informed Dynamics Model","created":"2022-02-01","cited_by_count":50,"area":null},{"id":"2204.04567","title":"Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification","created":"2022-04-09","cited_by_count":50,"area":null},{"id":"2105.02343","title":"CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints","created":"2021-05-05","cited_by_count":49,"area":null},{"id":"2110.03909","title":"Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning","created":"2021-10-08","cited_by_count":49,"area":null},{"id":"2101.02833","title":"Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition","created":"2021-01-08","cited_by_count":48,"area":null},{"id":"2301.12246","title":"A Closer Look at Few-shot Classification Again","created":"2023-01-28","cited_by_count":46,"area":null},{"id":"2103.14021","title":"Orthogonal Projection Loss","created":"2021-03-25","cited_by_count":44,"area":null},{"id":"2211.14666","title":"Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning","created":"2022-11-26","cited_by_count":44,"area":null},{"id":"2103.13582","title":"Learning Dynamic Alignment via Meta-filter for Few-shot Learning","created":"2021-03-25","cited_by_count":41,"area":null},{"id":"2105.02221","title":"How Fine-Tuning Allows for Effective Meta-Learning","created":"2021-05-05","cited_by_count":41,"area":null},{"id":"2107.07994","title":"Property-Aware Relation Networks for Few-Shot Molecular Property Prediction","created":"2021-07-16","cited_by_count":41,"area":null},{"id":"2307.16424","title":"MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning","created":"2023-07-31","cited_by_count":40,"area":"diffusion"},{"id":"2410.12777","title":"Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts","created":"2024-10-16","cited_by_count":40,"area":"diffusion"},{"id":"2103.04490","title":"Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems","created":"2021-03-07","cited_by_count":39,"area":null},{"id":"2111.11656","title":"Few-Shot Object Detection via Association and DIscrimination","created":"2021-11-23","cited_by_count":39,"area":null},{"id":"2205.02918","title":"Generating Representative Samples for Few-Shot Classification","created":"2022-05-05","cited_by_count":39,"area":null},{"id":"2402.18153","title":"Diffusion-Based Neural Network Weights Generation","created":"2024-02-28","cited_by_count":39,"area":null},{"id":"2110.02719","title":"The Information Geometry of Unsupervised Reinforcement Learning","created":"2021-10-06","cited_by_count":37,"area":null},{"id":"2202.01339","title":"Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty","created":"2022-02-01","cited_by_count":37,"area":null},{"id":"2109.07607","title":"Partner-Assisted Learning for Few-Shot Image Classification","created":"2021-09-15","cited_by_count":36,"area":null},{"id":"2201.04038","title":"DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation","created":"2022-01-11","cited_by_count":36,"area":null},{"id":"2206.07267","title":"Rethinking Generalization in Few-Shot Classification","created":"2022-06-15","cited_by_count":36,"area":null},{"id":"2212.04196","title":"Learning Domain Invariant Prompt for Vision-Language Models","created":"2022-12-08","cited_by_count":36,"area":"mllm"},{"id":"2110.07004","title":"On the Convergence Theory for Hessian-Free Bilevel Algorithms","created":"2021-10-13","cited_by_count":35,"area":null},{"id":"2205.13803","title":"Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions","created":"2022-05-27","cited_by_count":34,"area":"lr"},{"id":"2107.00860","title":"Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets","created":"2021-07-02","cited_by_count":33,"area":null},{"id":"2110.14402","title":"Learning where to learn: Gradient sparsity in meta and continual learning","created":"2021-10-27","cited_by_count":33,"area":null},{"id":"2202.10284","title":"A Review of Emerging Research Directions in Abstract Visual Reasoning","created":"2022-02-21","cited_by_count":33,"area":"lr"},{"id":"2101.00562","title":"Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier","created":"2021-01-03","cited_by_count":32,"area":null},{"id":"2304.07939","title":"Leveraging sparse and shared feature activations for disentangled representation learning","created":"2023-04-17","cited_by_count":32,"area":null},{"id":"2209.08224","title":"Few-Shot Classification with Contrastive Learning","created":"2022-09-17","cited_by_count":31,"area":null},{"id":"2106.08053","title":"On the Power of Multitask Representation Learning in Linear MDP","created":"2021-06-15","cited_by_count":30,"area":null},{"id":"2209.11208","title":"A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases","created":"2022-09-22","cited_by_count":30,"area":null},{"id":"2304.11598","title":"Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement","created":"2023-04-23","cited_by_count":30,"area":null},{"id":"2102.12152","title":"Dual-Awareness Attention for Few-Shot Object Detection","created":"2021-02-24","cited_by_count":29,"area":null},{"id":"2103.01537","title":"Few-shot Open-set Recognition by Transformation Consistency","created":"2021-03-02","cited_by_count":29,"area":null},{"id":"2205.15213","title":"Backpropagation through Combinatorial Algorithms: Identity with Projection Works","created":"2022-05-30","cited_by_count":29,"area":"lr"},{"id":"2210.01439","title":"Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment","created":"2022-10-04","cited_by_count":29,"area":null},{"id":"2303.14123","title":"Semantic Prompt for Few-Shot Image Recognition","created":"2023-03-24","cited_by_count":29,"area":null},{"id":"2111.01754","title":"Meta-Learning to Improve Pre-Training","created":"2021-11-02","cited_by_count":27,"area":null},{"id":"2203.09064","title":"Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning","created":"2022-03-17","cited_by_count":27,"area":null},{"id":"2108.12104","title":"Binocular Mutual Learning for Improving Few-shot Classification","created":"2021-08-27","cited_by_count":26,"area":null},{"id":"2205.03076","title":"Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation","created":"2022-05-06","cited_by_count":26,"area":null},{"id":"2404.00851","title":"Prompt Learning via Meta-Regularization","created":"2024-04-01","cited_by_count":26,"area":"mllm"},{"id":"2203.15712","title":"Integrative Few-Shot Learning for Classification and Segmentation","created":"2022-03-29","cited_by_count":25,"area":null},{"id":"2204.00949","title":"Matching Feature Sets for Few-Shot Image Classification","created":"2022-04-02","cited_by_count":25,"area":null},{"id":"2303.07502","title":"Meta-learning approaches for few-shot learning: A survey of recent advances","created":"2023-03-13","cited_by_count":25,"area":null},{"id":"2104.01769","title":"Procrustean Training for Imbalanced Deep Learning","created":"2021-04-05","cited_by_count":24,"area":null},{"id":"2203.11378","title":"HyperShot: Few-Shot Learning by Kernel HyperNetworks","created":"2022-03-21","cited_by_count":24,"area":null},{"id":"2212.12206","title":"Understanding and Improving Transfer Learning of Deep Models via Neural Collapse","created":"2022-12-23","cited_by_count":24,"area":null},{"id":"2108.04009","title":"Transductive Few-Shot Classification on the Oblique Manifold","created":"2021-08-09","cited_by_count":23,"area":null},{"id":"2203.07656","title":"Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning","created":"2022-03-15","cited_by_count":23,"area":null},{"id":"2204.05494","title":"Few-shot Learning with Noisy Labels","created":"2022-04-12","cited_by_count":23,"area":null},{"id":"2106.16245","title":"How to Train Your MAML to Excel in Few-Shot Classification","created":"2021-06-30","cited_by_count":22,"area":null},{"id":"2108.07386","title":"BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing","created":"2021-08-17","cited_by_count":22,"area":null},{"id":"2203.07057","title":"Self-Promoted Supervision for Few-Shot Transformer","created":"2022-03-14","cited_by_count":22,"area":null},{"id":"2203.09137","title":"Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning","created":"2022-03-17","cited_by_count":22,"area":null},{"id":"2109.04898","title":"LibFewShot: A Comprehensive Library for Few-shot Learning","created":"2021-09-10","cited_by_count":21,"area":null},{"id":"2205.02708","title":"Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction","created":"2022-05-05","cited_by_count":21,"area":null},{"id":"2207.01376","title":"Task Discrepancy Maximization for Fine-grained Few-Shot Classification","created":"2022-07-04","cited_by_count":21,"area":null},{"id":"2210.12547","title":"SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems","created":"2022-10-22","cited_by_count":21,"area":null},{"id":"2310.10971","title":"Context-Aware Meta-Learning","created":"2023-10-17","cited_by_count":21,"area":null},{"id":"2206.00092","title":"FHIST: A Benchmark for Few-shot Classification of Histological Images","created":"2022-05-31","cited_by_count":20,"area":null},{"id":"2206.08126","title":"Channel Importance Matters in Few-Shot Image Classification","created":"2022-06-16","cited_by_count":20,"area":null},{"id":"2210.16834","title":"Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid","created":"2022-10-30","cited_by_count":20,"area":null},{"id":"2401.01377","title":"Does Few-shot Learning Suffer from Backdoor Attacks?","created":"2023-12-31","cited_by_count":20,"area":null},{"id":"2109.05749","title":"Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning","created":"2021-09-13","cited_by_count":19,"area":null},{"id":"2207.09176","title":"Self-Supervision Can Be a Good Few-Shot Learner","created":"2022-07-19","cited_by_count":19,"area":null},{"id":"2104.04192","title":"Reinforced Attention for Few-Shot Learning and Beyond","created":"2021-04-09","cited_by_count":18,"area":null},{"id":"2106.05517","title":"Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification","created":"2021-06-10","cited_by_count":18,"area":null},{"id":"2310.10207","title":"Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World","created":"2023-10-16","cited_by_count":18,"area":"lr"},{"id":"2107.09562","title":"Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning","created":"2021-07-20","cited_by_count":17,"area":null},{"id":"2203.15245","title":"Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients","created":"2022-03-29","cited_by_count":17,"area":null},{"id":"2204.06716","title":"Control-oriented meta-learning","created":"2022-04-14","cited_by_count":17,"area":null},{"id":"2205.15745","title":"HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks","created":"2022-05-31","cited_by_count":17,"area":null},{"id":"2506.00343","title":"The iNaturalist Sounds Dataset","created":"2025-05-31","cited_by_count":17,"area":null},{"id":"2106.08630","title":"HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning","created":"2021-06-16","cited_by_count":16,"area":null},{"id":"2107.00197","title":"Few-Shot Learning with a Strong Teacher","created":"2021-07-01","cited_by_count":16,"area":null},{"id":"2112.06741","title":"Long-tail Recognition via Compositional Knowledge Transfer","created":"2021-12-13","cited_by_count":16,"area":null},{"id":"2201.09699","title":"EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients","created":"2022-01-24","cited_by_count":16,"area":null},{"id":"2202.09059","title":"Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning","created":"2022-02-18","cited_by_count":16,"area":null},{"id":"2203.15664","title":"Nearly Minimax Algorithms for Linear Bandits with Shared Representation","created":"2022-03-29","cited_by_count":16,"area":null},{"id":"2206.06135","title":"Flexible Differentiable Optimization via Model Transformations","created":"2022-06-10","cited_by_count":16,"area":null},{"id":"2207.01332","title":"The least-control principle for local learning at equilibrium","created":"2022-07-04","cited_by_count":16,"area":null}],"next_cursor":"100"}