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

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'15

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Papers (including subtopics)

Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021 Large Scale Private Learning via Low-rank Reparametrization ICML 2021 LA-SACo: A Study of Learning Approaches for Sentiments Analysis inCode-Mixing Texts EACL 2021 Latent Derivative Bayesian Last Layer Networks AISTATS 2021 Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition AAAI 2021 Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection NAACL 2021 Latent Skill Planning for Exploration and Transfer ICLR 2021 LATEX-Numeric: Language Agnostic Text Attribute Extraction for Numeric Attributes NAACL 2021 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021 LEADS: Learning Dynamical Systems that Generalize Across Environments NeurIPS 2021 Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021 Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021 Learned Initializations for Optimizing Coordinate-Based Neural Representations CVPR 2021 Learned Spatial Representations for Few-Shot Talking-Head Synthesis ICCV 2021 Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021 Learning advanced mathematical computations from examples ICLR 2021 Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021 Learning Associative Inference Using Fast Weight Memory ICLR 2021 Learning Behaviors through Physics-driven Latent Imagination CoRL 2021 Learning Class-Transductive Intent Representations for Zero-shot Intent Detection IJCAI 2021 Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency ICLR 2021 Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport EMNLP 2021 Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ACL 2021 Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021 Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation CVPR 2021