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)

Fair Mixup: Fairness via Interpolation ICLR 2021 Fairness-aware Class Imbalanced Learning EMNLP 2021 Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks AAAI 2021 FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations EMNLP 2021 Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021 Fast active learning for pure exploration in reinforcement learning ICML 2021 Fast and Accurate Neural Machine Translation with Translation Memory ACL 2021 Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021 Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients AAAI 2021 Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network CVPR 2021 Fast Certified Robust Training with Short Warmup NeurIPS 2021 FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition EMNLP 2021 Faster Meta Update Strategy for Noise-Robust Deep Learning CVPR 2021 FastSeq: Make Sequence Generation Faster ACL 2021 Fast Training of Provably Robust Neural Networks by SingleProp AAAI 2021 FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise CVPR 2021 Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition CVPR 2021 Feature Fusion by Attention Networks for Robust DOA Estimation Interspeech 2021 Feature Space Targeted Attacks by Statistic Alignment IJCAI 2021 Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NeurIPS 2021 FedMix: Approximation of Mixup under Mean Augmented Federated Learning ICLR 2021 Few-NERD: A Few-shot Named Entity Recognition Dataset ACL 2021 Few-Shot 3D Point Cloud Semantic Segmentation CVPR 2021 Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector EMNLP 2021 Few-Shot Classification With Feature Map Reconstruction Networks CVPR 2021