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Learning Types

32,670 papers (1 classified directly here)

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)
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Papers (including subtopics)

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences CVPR 2021 PatchGame: Learning to Signal Mid-level Patches in Referential Games NeurIPS 2021 Path Planning using Neural A* Search ICML 2021 PAUL: Procrustean Autoencoder for Unsupervised Lifting CVPR 2021 PAUSE: Positive and Annealed Unlabeled Sentence Embedding EMNLP 2021 PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition EMNLP 2021 Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach AAAI 2021 Peer Collaborative Learning for Online Knowledge Distillation AAAI 2021 PENS: A Dataset and Generic Framework for Personalized News Headline Generation ACL 2021 Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA EMNLP 2021 Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification CVPR 2021 Per-Pixel Classification is Not All You Need for Semantic Segmentation NeurIPS 2021 Person30K: A Dual-Meta Generalization Network for Person Re-Identification CVPR 2021 Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021 Personalized Keyphrase Detection Using Speaker and Environment Information Interspeech 2021 Personalized Outfit Recommendation With Learnable Anchors CVPR 2021 Personalized Response Generation with Tensor Factorization ACL 2021 Personalized Trajectory Prediction via Distribution Discrimination ICCV 2021 Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing EMNLP 2021 PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients ACML 2021 PGT: A Progressive Method for Training Models on Long Videos CVPR 2021 PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification CVPR 2021 PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation EMNLP 2021 Phrase-level Active Learning for Neural Machine Translation EMNLP 2021 Phrase Retrieval Learns Passage Retrieval, Too EMNLP 2021