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)

Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020 Learning Better Lossless Compression Using Lossy Compression CVPR 2020 Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation CVPR 2020 Learning Certified Individually Fair Representations NeurIPS 2020 Learning Conceptual-Contextual Embeddings for Medical Text AAAI 2020 Learning Contextual Language Embeddings for Monaural Multi-Talker Speech Recognition Interspeech 2020 Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval AAAI 2020 Learning Cross-Modal Context Graph for Visual Grounding AAAI 2020 Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses CVPR 2020 Learning Deep Relations to Promote Saliency Detection AAAI 2020 Learning Deformable Tetrahedral Meshes for 3D Reconstruction NeurIPS 2020 Learning Dialog Policies from Weak Demonstrations ACL 2020 Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions AAAI 2020 Learning Dynamic Relationships for 3D Human Motion Prediction CVPR 2020 Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020 Learning Efficient Parameter Server Synchronization Policies for Distributed SGD ICLR 2020 Learning Efficient Representations for Fake Speech Detection AAAI 2020 Learning efficient task-dependent representations with synaptic plasticity NeurIPS 2020 Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge AAAI 2020 Learning Fast and Robust Target Models for Video Object Segmentation CVPR 2020 Learning Feature Interactions with Lorentzian Factorization Machine AAAI 2020 Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement CVPR 2020 Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020 Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020 Learning from Interventions Using Hierarchical Policies for Safe Learning AAAI 2020