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)

Adversarial Framing for Image and Video Classification AAAI 2019 Adversarial Inference for Multi-Sentence Video Description CVPR 2019 Adversarial Learning for Weakly-Supervised Social Network Alignment AAAI 2019 Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records ACL 2019 Adversarial Learning of Semantic Relevance in Text to Image Synthesis AAAI 2019 Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER EMNLP 2019 Adversarially Trained End-to-End Korean Singing Voice Synthesis System Interspeech 2019 Adversarial Machine Learning with Double Oracle IJCAI 2019 Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling ACL 2019 Adversarial Music: Real world Audio Adversary against Wake-word Detection System NeurIPS 2019 Adversarial Removal of Demographic Attributes Revisited EMNLP 2019 Adversarial Self-Defense for Cycle-Consistent GANs NeurIPS 2019 Adversarial Semantic Alignment for Improved Image Captions CVPR 2019 Adversarial Structure Matching for Structured Prediction Tasks CVPR 2019 Adversarial Training and Robustness for Multiple Perturbations NeurIPS 2019 Adversarial training for free! NeurIPS 2019 Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks IJCAI 2019 Adversarial Unsupervised Representation Learning for Activity Time-Series AAAI 2019 Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019 Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4 ACL 2019 AE2-Nets: Autoencoder in Autoencoder Networks CVPR 2019 AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data CVPR 2019 A Feasibility Test on Preventing PRMDs Based on Deep Learning AAAI 2019 AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction AAAI 2019 A Framework to Coordinate Segmentation and Recognition AAAI 2019