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

'15

'20

'25

Papers (including subtopics)

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019 KNU-HYUNDAI’s NMT system for Scientific Paper and Patent Tasks onWAT 2019 EMNLP 2019 Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model EMNLP 2019 KU_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI ACL 2019 KVQA: Knowledge-Aware Visual Question Answering AAAI 2019 L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving CVPR 2019 Label-Agnostic Sequence Labeling by Copying Nearest Neighbors ACL 2019 Label Efficient Semi-Supervised Learning via Graph Filtering CVPR 2019 Label-Noise Robust Generative Adversarial Networks CVPR 2019 Label super-resolution networks ICLR 2019 LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection ACML 2019 LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup ICCV 2019 LAEO-Net: Revisiting People Looking at Each Other in Videos CVPR 2019 Lagging Inference Networks and Posterior Collapse in Variational Autoencoders ICLR 2019 Language as an Abstraction for Hierarchical Deep Reinforcement Learning NeurIPS 2019 Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model CVPR 2019 Language Modeling with Shared Grammar ACL 2019 Large Dataset and Language Model Fun-Tuning for Humor Recognition ACL 2019 Large Scale Adversarial Representation Learning NeurIPS 2019 Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 2019 Large-Scale Heterogeneous Feature Embedding AAAI 2019 Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data CVPR 2019 Large Scale Incremental Learning CVPR 2019 Large-Scale Interactive Object Segmentation With Human Annotators CVPR 2019 Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games AAAI 2019