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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
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'25

Papers (including subtopics)

Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation CVPR 2021 Task-Adaptive Neural Network Search with Meta-Contrastive Learning NeurIPS 2021 Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding EMNLP 2021 Task Aligned Generative Meta-learning for Zero-shot Learning AAAI 2021 Task-Aware Variational Adversarial Active Learning CVPR 2021 Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning AAAI 2021 Task Programming: Learning Data Efficient Behavior Representations CVPR 2021 Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract) AAAI 2021 TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance ACL 2021 Teachers Do More Than Teach: Compressing Image-to-Image Models CVPR 2021 Teacher-Student Adversarial Depth Hallucination To Improve Face Recognition ICCV 2021 Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models EMNLP 2021 Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference ACL 2021 Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching EMNLP 2021 Team “NoConflict” at CASE 2021 Task 1: Pretraining for Sentence-Level Protest Event Detection ACL 2021 TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations CVPR 2021 TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network EMNLP 2021 Techniques for Symbol Grounding with SATNet NeurIPS 2021 TediGAN: Text-Guided Diverse Face Image Generation and Manipulation CVPR 2021 Tempered Sigmoid Activations for Deep Learning with Differential Privacy AAAI 2021 Temporal Action Segmentation From Timestamp Supervision CVPR 2021 Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media EMNLP 2021 Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance AAAI 2021 Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement Interspeech 2021 Temporal Knowledge Consistency for Unsupervised Visual Representation Learning ICCV 2021