conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

3

2

4

12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

'10

'15

'20

'25

Papers (including subtopics)

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation NeurIPS 2023 Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering CoRL 2023 Diffused Redundancy in Pre-trained Representations NeurIPS 2023 Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning ICLR 2023 DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection CVPR 2023 DiNeR: A Large Realistic Dataset for Evaluating Compositional Generalization EMNLP 2023 DINO as a von Mises-Fisher mixture model ICLR 2023 Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms NeurIPS 2023 Discovering Evolution Strategies via Meta-Black-Box Optimization ICLR 2023 Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design NeurIPS 2023 Discovering Latent Knowledge in Language Models Without Supervision ICLR 2023 Discrete Key-Value Bottleneck ICML 2023 Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023 Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023 Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023 Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers ACL 2023 Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract) AAAI 2023 Disposable Transfer Learning for Selective Source Task Unlearning ICCV 2023 Distillation of encoder-decoder transformers for sequence labelling EACL 2023 Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation CoRL 2023 Distilling from Similar Tasks for Transfer Learning on a Budget ICCV 2023 Distilling Internet-Scale Vision-Language Models into Embodied Agents ICML 2023 Distilling Large Vision-Language Model with Out-of-Distribution Generalizability ICCV 2023 Distilling Reasoning Capabilities into Smaller Language Models ACL 2023