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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'20

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Papers (including subtopics)

Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks CoRL 2017 Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks NeurIPS 2017 Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference NeurIPS 2017 Semi-supervised Multitask Learning for Sequence Labeling ACL 2017 Semi-Supervised QA with Generative Domain-Adaptive Nets ACL 2017 Sentence Embedding for Neural Machine Translation Domain Adaptation ACL 2017 Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification IJCNLP 2017 Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter ACL 2017 Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks Interspeech 2017 Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017 SEVEN: Deep Semi-supervised Verification Networks IJCAI 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Sim-to-Real Robot Learning from Pixels with Progressive Nets CoRL 2017 Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search CVPR 2017 SMARTies: Sentiment Models for Arabic Target entities EACL 2017 Sobolev Training for Neural Networks NeurIPS 2017 Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NeurIPS 2017 Sound-Word2Vec: Learning Word Representations Grounded in Sounds EMNLP 2017 Spatial-Semantic Image Search by Visual Feature Synthesis CVPR 2017 Speaker2Vec: Unsupervised Learning and Adaptation of a Speaker Manifold Using Deep Neural Networks with an Evaluation on Speaker Segmentation Interspeech 2017 Speaker Adaptation in DNN-Based Speech Synthesis Using d-Vectors Interspeech 2017 SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos CVPR 2017 SphereFace: Deep Hypersphere Embedding for Face Recognition CVPR 2017 Sports Field Localization via Deep Structured Models CVPR 2017