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 Emotion Representations From Verbal and Nonverbal Communication CVPR 2023 Learning Fair Graph Representations via Automated Data Augmentations ICLR 2023 Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023 Learning Fractals by Gradient Descent AAAI 2023 Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation ACL 2023 Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion NeurIPS 2023 Learning from Children: Improving Image-Caption Pretraining via Curriculum ACL 2023 Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023 Learning From Noisy Labels With Decoupled Meta Label Purifier CVPR 2023 Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning ACL 2023 Learning Generalizable Agents via Saliency-guided Features Decorrelation NeurIPS 2023 Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs CVPR 2023 Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce CVPR 2023 Learning Instance-Specific Augmentations by Capturing Local Invariances ICML 2023 Learning Interpretable Style Embeddings via Prompting LLMs EMNLP 2023 Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NeurIPS 2023 Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment ICLR 2023 Learning Large Graph Property Prediction via Graph Segment Training NeurIPS 2023 Learning Layer-wise Equivariances Automatically using Gradients NeurIPS 2023 Learning Local to Global Feature Aggregation for Speech Emotion Recognition Interspeech 2023 Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma AAAI 2023 Learning Mask-aware CLIP Representations for Zero-Shot Segmentation NeurIPS 2023 Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization EMNLP 2023 Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization CVPR 2023 Learning Multimodal Data Augmentation in Feature Space ICLR 2023