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)

Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion Interspeech 2021 Continual General Chunking Problem and SyncMap AAAI 2021 Continual Learning by Using Information of Each Class Holistically AAAI 2021 Continual Learning in Multilingual NMT via Language-Specific Embeddings EMNLP 2021 Continual Learning via Bit-Level Information Preserving CVPR 2021 Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations CVPR 2021 Continuous Entailment Patterns for Lexical Inference in Context EMNLP 2021 Continuous Face Aging via Self-Estimated Residual Age Embedding CVPR 2021 Continuous Learning in Neural Machine Translation using Bilingual Dictionaries EACL 2021 Continuous-Time Attention for Sequential Learning AAAI 2021 Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing NeurIPS 2021 Contrast and Order Representations for Video Self-Supervised Learning ICCV 2021 Contrasting Contrastive Self-Supervised Representation Learning Pipelines ICCV 2021 Contrasting distinct structured views to learn sentence embeddings EACL 2021 Contrastive Active Inference NeurIPS 2021 Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition AAAI 2021 Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021 Contrastive Clustering AAAI 2021 Contrastive Code Representation Learning EMNLP 2021 Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias EMNLP 2021 Contrastive Document Representation Learning with Graph Attention Networks EMNLP 2021 Contrastive Domain Adaptation for Question Answering using Limited Text Corpora EMNLP 2021 Contrastive Embedding for Generalized Zero-Shot Learning CVPR 2021 Contrastive Estimation Reveals Topic Posterior Information to Linear Models JMLR 2021 Contrastive Explanations for Model Interpretability EMNLP 2021