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)

Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space EMNLP 2020 Active Vision for Early Recognition of Human Actions CVPR 2020 Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems EMNLP 2020 Adabot: Fault-Tolerant Java Decompiler (Student Abstract) AAAI 2020 AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss CVPR 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020 AdapterHub: A Framework for Adapting Transformers EMNLP 2020 Adapting Language Models for Non-Parallel Author-Stylized Rewriting AAAI 2020 Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020 Adaptive Adversarial Multi-task Representation Learning ICML 2020 Adaptive Cross-Modal Embeddings for Image-Text Alignment AAAI 2020 Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions AAAI 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020 Adaptive Subspaces for Few-Shot Learning CVPR 2020 Adaptive Transformers for Learning Multimodal Representations ACL 2020 AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NeurIPS 2020 A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction ACL 2020 A Dataset for Low-Resource Stylized Sequence-to-Sequence Generation AAAI 2020 AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification CVPR 2020 A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NeurIPS 2020 A Deep Learning-Based Kalman Filter for Speech Enhancement Interspeech 2020 A Deep Learning System for Sentiment Analysis of Service Calls ACL 2020 A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed AAAI 2020 A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation IJCAI 2020