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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Papers (including subtopics)

Learn and Sample Together: Collaborative Generation for Graphic Design Layout IJCAI 2023 Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation EMNLP 2023 Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders CVPR 2023 Learning a 3D Morphable Face Reflectance Model From Low-Cost Data CVPR 2023 Learning Adaptive Dense Event Stereo From the Image Domain CVPR 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023 Learning Answer Generation using Supervision from Automatic Question Answering Evaluators ACL 2023 Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models CVPR 2023 Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images CVPR 2023 Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis CVPR 2023 Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning CVPR 2023 Learning Better Masking for Better Language Model Pre-training ACL 2023 Learning Bottleneck Concepts in Image Classification CVPR 2023 Learning Compact Features via In-Training Representation Alignment AAAI 2023 Learning Conflict-Noticed Architecture for Multi-Task Learning AAAI 2023 Learning Context-Aware Classifier for Semantic Segmentation AAAI 2023 Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution ICCV 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model ICLR 2023 Learning Debiased Representations via Conditional Attribute Interpolation CVPR 2023 Learning Decorrelated Representations Efficiently Using Fast Fourier Transform CVPR 2023 Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition AAAI 2023 Learning Deep Time-index Models for Time Series Forecasting ICML 2023 Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation ACL 2023 Learning Dynamic Latent Spaces for Lifelong Generative Modelling AAAI 2023 Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix EMNLP 2023