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)

Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks ICML 2022 Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NeurIPS 2022 Learning Equivariant Segmentation with Instance-Unique Querying NeurIPS 2022 Learning Features with Parameter-Free Layers ICLR 2022 Learning Foreground-Background Segmentation From Improved Layered GANs WACV 2022 Learning From All Vehicles CVPR 2022 Learning from Label Proportions by Learning with Label Noise NeurIPS 2022 Learning from Label Proportions with Prototypical Contrastive Clustering AAAI 2022 Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference ACL 2022 Learning from Students: Online Contrastive Distillation Network for General Continual Learning IJCAI 2022 Learning From Temporal Gradient for Semi-Supervised Action Recognition CVPR 2022 Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples AAAI 2022 Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking EMNLP 2022 Learning From the Source Document: Unsupervised Abstractive Summarization EMNLP 2022 Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation AAAI 2022 Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency CVPR 2022 Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts AAAI 2022 Learning Functional Distributional Semantics with Visual Data ACL 2022 Learning Generalizable Part-based Feature Representation for 3D Point Clouds NeurIPS 2022 Learning General World Models in a Handful of Reward-Free Deployments NeurIPS 2022 Learning Graph Regularisation for Guided Super-Resolution CVPR 2022 Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation CVPR 2022 Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization EMNLP 2022 Learning Label Modular Prompts for Text Classification in the Wild EMNLP 2022 Learning Latent Seasonal-Trend Representations for Time Series Forecasting NeurIPS 2022