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

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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)

Continual Sequence Generation with Adaptive Compositional Modules ACL 2022 Continual Training of Language Models for Few-Shot Learning EMNLP 2022 Continued Pretraining for Better Zero- and Few-Shot Promptability EMNLP 2022 Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification ACL 2022 Contour-Hugging Heatmaps for Landmark Detection CVPR 2022 Contrast-Enhanced Semi-supervised Text Classification with Few Labels AAAI 2022 Contrasting the landscape of contrastive and non-contrastive learning AISTATS 2022 Contrastive Adapters for Foundation Model Group Robustness NeurIPS 2022 Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods NeurIPS 2022 Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation ICLR 2022 Contrastive Demonstration Tuning for Pre-trained Language Models EMNLP 2022 Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning CVPR 2022 Contrastive Graph Structure Learning via Information Bottleneck for Recommendation NeurIPS 2022 Contrastive Inductive Bias Controlling Networks for Reinforcement Learning ACML 2022 Contrastive Language-Image Pre-Training with Knowledge Graphs NeurIPS 2022 Contrastive Learning as Goal-Conditioned Reinforcement Learning NeurIPS 2022 Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding Interspeech 2022 Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency CVPR 2022 Contrastive Learning for Unsupervised Video Highlight Detection CVPR 2022 Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition AAAI 2022 Contrastive Learning with Boosted Memorization ICML 2022 Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding EMNLP 2022 Contrastive Multi-view Hyperbolic Hierarchical Clustering IJCAI 2022 Contrastive Personalization Approach to Suspect Identification (Student Abstract) AAAI 2022 Contrastive Quantization with Code Memory for Unsupervised Image Retrieval AAAI 2022