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)

Data augmentation for efficient learning from parametric experts NeurIPS 2022 Data Augmentation for Inline Tag-Aware Neural Machine Translation EMNLP 2022 Data Augmented 3D Semantic Scene Completion With 2D Segmentation Priors WACV 2022 Data-augmented cross-lingual synthesis in a teacher-student framework Interspeech 2022 Data Contamination: From Memorization to Exploitation ACL 2022 Data Distributional Properties Drive Emergent In-Context Learning in Transformers NeurIPS 2022 Data-Driven Offline Decision-Making via Invariant Representation Learning NeurIPS 2022 Data-Efficient Augmentation for Training Neural Networks NeurIPS 2022 Data-efficient end-to-end Information Extraction for Statistical Legal Analysis EMNLP 2022 Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge EMNLP 2022 Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages EMNLP 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks IJCAI 2022 Dataset Condensation with Contrastive Signals ICML 2022 Dataset Debt in Biomedical Language Modeling ACL 2022 Dataset Distillation by Matching Training Trajectories CVPR 2022 Dataset Distillation using Neural Feature Regression NeurIPS 2022 Dataset Inference for Self-Supervised Models NeurIPS 2022 DCAN: Improving Temporal Action Detection via Dual Context Aggregation AAAI 2022 DCU-ML at the FinNLP-2022 ERAI Task: Investigating the Transferability of Sentiment Analysis Data for Evaluating Rationales of Investors EMNLP 2022 DE-ABUSE@TamilNLP-ACL 2022: Transliteration as Data Augmentation for Abuse Detection in Tamil ACL 2022 DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations ACL 2022 DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers CVPR 2022 Debiased Contrastive Learning of Unsupervised Sentence Representations ACL 2022 Debiased Learning From Naturally Imbalanced Pseudo-Labels CVPR 2022 Debiased Self-Training for Semi-Supervised Learning NeurIPS 2022