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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'20

'25

Papers (including subtopics)

Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation NeurIPS 2020 Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NeurIPS 2020 Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation ACL 2020 Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract) AAAI 2020 Distilling Cross-Task Knowledge via Relationship Matching CVPR 2020 Distilling Image Dehazing With Heterogeneous Task Imitation CVPR 2020 Distilling Knowledge From Graph Convolutional Networks CVPR 2020 Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction AAAI 2020 Distilling Multiple Domains for Neural Machine Translation EMNLP 2020 Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020 Distilling Structured Knowledge for Text-Based Relational Reasoning EMNLP 2020 Distilling the Knowledge of BERT for Sequence-to-Sequence ASR Interspeech 2020 Distortion Agnostic Deep Watermarking CVPR 2020 Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism AAAI 2020 Distributed Iterative Gating Networks for Semantic Segmentation WACV 2020 Distributed Representations for Arithmetic Word Problems AAAI 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020 Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness ACL 2020 Diverse Image Generation via Self-Conditioned GANs CVPR 2020 Diversified Arbitrary Style Transfer via Deep Feature Perturbation CVPR 2020 Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification EMNLP 2020 Diversifying Dialogue Generation with Non-Conversational Text ACL 2020 Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NeurIPS 2020 Diversity Transfer Network for Few-Shot Learning AAAI 2020 Divide and Conquer: From Complexity to Simplicity for Lay Summarization EMNLP 2020