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

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Papers (including subtopics)

Opinion Recommendation Using A Neural Model EMNLP 2017 Optical Flow Requires Multiple Strategies (but Only One Network) CVPR 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 Overcoming Catastrophic Forgetting by Incremental Moment Matching NeurIPS 2017 Paradigm Completion for Derivational Morphology EMNLP 2017 Person Search With Natural Language Description CVPR 2017 Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NeurIPS 2017 Poincaré Embeddings for Learning Hierarchical Representations NeurIPS 2017 Point to Set Similarity Based Deep Feature Learning for Person Re-Identification CVPR 2017 Population Matching Discrepancy and Applications in Deep Learning NeurIPS 2017 PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017 Pose Guided Person Image Generation NeurIPS 2017 PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents ACL 2017 Positive-Unlabeled Learning with Non-Negative Risk Estimator NeurIPS 2017 Predicting Behaviors of Basketball Players From First Person Videos CVPR 2017 PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs NeurIPS 2017 Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization ACL 2017 Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training IJCAI 2017 Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017 Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017 Projective Low-rank Subspace Clustering via Learning Deep Encoder IJCAI 2017 Prototypical Networks for Few-shot Learning NeurIPS 2017 PRUNE: Preserving Proximity and Global Ranking for Network Embedding NeurIPS 2017 QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings SemEval 2017 Quality Aware Network for Set to Set Recognition CVPR 2017