Skip to content
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

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs EMNLP 2021 Improving the Efficiency and Effectiveness for BERT-based Entity Resolution AAAI 2021 Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features CVPR 2021 Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation ACL 2021 Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021 Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021 Improving Transferability of Representations via Augmentation-Aware Self-Supervision NeurIPS 2021 Improving Transformation Invariance in Contrastive Representation Learning ICLR 2021 Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning AAAI 2021 Improving Unsupervised Question Answering via Summarization-Informed Question Generation EMNLP 2021 Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation CVPR 2021 Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training EMNLP 2021 Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning ICLR 2021 In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval ACL 2021 Incorporating Embedding Vectors from a Human Mean-Opinion Score Prediction Model for Monaural Speech Enhancement Interspeech 2021 Incorporating tone in the calculation of phonotactic probability ACL 2021 Incremental Embedding Learning via Zero-Shot Translation AAAI 2021 Incremental Few-Shot Instance Segmentation CVPR 2021 Incremental Learning via Rate Reduction CVPR 2021 In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning ICLR 2021 IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization EMNLP 2021 IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation EMNLP 2021 Indoor Panorama Planar 3D Reconstruction via Divide and Conquer CVPR 2021 Inducing Language-Agnostic Multilingual Representations ACL 2021 Inductive Graph Neural Networks for Spatiotemporal Kriging AAAI 2021