conftrace_

Learning Types

32,670 papers (1 classified directly here)

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

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

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Papers (including subtopics)

Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020 Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases EMNLP 2020 Few Shot Network Compression via Cross Distillation AAAI 2020 Few-Shot NLG with Pre-Trained Language Model ACL 2020 Few-Shot Pill Recognition CVPR 2020 Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network ACL 2020 Few-Shot Video Classification via Temporal Alignment CVPR 2020 Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NeurIPS 2020 FGN: Fully Guided Network for Few-Shot Instance Segmentation CVPR 2020 Filter Grafting for Deep Neural Networks CVPR 2020 Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots EMNLP 2020 Filtering Noisy Parallel Corpus using Transformers with Proxy Task Learning EMNLP 2020 Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization AAAI 2020 FIND: Human-in-the-Loop Debugging Deep Text Classifiers EMNLP 2020 Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP 2020 Finding trainable sparse networks through Neural Tangent Transfer ICML 2020 Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks AAAI 2020 Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network AAAI 2020 Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention CVPR 2020 Fine-Grained Image-to-Image Transformation Towards Visual Recognition CVPR 2020 Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes AAAI 2020 Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning CVPR 2020 Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020 Fine-tuning for multi-domain and multi-label uncivil language detection EMNLP 2020 Fine-Tuning MT systems for Robustness to Second-Language Speaker Variations EMNLP 2020