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)

Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement Interspeech 2023 Dual Mutual Information Constraints for Discriminative Clustering AAAI 2023 Dual-Path Adaptation From Image to Video Transformers CVPR 2023 Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons ICML 2023 DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium CVPR 2023 DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective CVPR 2023 DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation CVPR 2023 DUB: Discrete Unit Back-translation for Speech Translation ACL 2023 DUET: 2D Structured and Approximately Equivariant Representations ICML 2023 DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning AAAI 2023 dugMatting: Decomposed-Uncertainty-Guided Matting ICML 2023 DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition ICCV 2023 Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation CVPR 2023 Dynamically Masked Discriminator for GANs NeurIPS 2023 Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection CVPR 2023 Dynamic Conceptional Contrastive Learning for Generalized Category Discovery CVPR 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” AAAI 2023 Dynamic Fully-Connected Layer for Large-Scale Speaker Verification Interspeech 2023 Dynamic Generative Targeted Attacks With Pattern Injection CVPR 2023 Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation CVPR 2023 Dynamic Heterogeneous Graph Attention Neural Architecture Search AAAI 2023 Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023 Dynamic Open-book Prompt for Conversational Recommender System EMNLP 2023 Dynamic Regularization in UDA for Transformers in Multimodal Classification ACL 2023 Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting AAAI 2023