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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'25

Papers (including subtopics)

AdaGAN: Boosting Generative Models NeurIPS 2017 Adapting Sequence Models for Sentence Correction EMNLP 2017 A Dataset and Exploration of Models for Understanding Video Data Through Fill-In-The-Blank Question-Answering CVPR 2017 Addressing the Data Sparsity Issue in Neural AMR Parsing EACL 2017 A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection CVPR 2017 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NeurIPS 2017 Adversarial Adaptation of Synthetic or Stale Data ACL 2017 Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification ACL 2017 Adversarial Discriminative Domain Adaptation CVPR 2017 Adversarial Learning for Neural Dialogue Generation EMNLP 2017 Adversarially Tuned Scene Generation CVPR 2017 Adversarial Ranking for Language Generation NeurIPS 2017 A Factored Neural Network Model for Characterizing Online Discussions in Vector Space EMNLP 2017 Affect-LM: A Neural Language Model for Customizable Affective Text Generation ACL 2017 AGA: Attribute-Guided Augmentation CVPR 2017 Aggregated Residual Transformations for Deep Neural Networks CVPR 2017 Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control CoRL 2017 A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning CVPR 2017 A Hierarchical Approach for Generating Descriptive Image Paragraphs CVPR 2017 A Hierarchical Neural Model for Learning Sequences of Dialogue Acts EACL 2017 A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks EMNLP 2017 A Joint Speaker-Listener-Reinforcer Model for Referring Expressions CVPR 2017 Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task IJCNLP 2017 ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NeurIPS 2017 AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine ACL 2017