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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)

Spherical Criteria for Fast and Accurate 360° Object Detection AAAI 2020 Spherical Space Domain Adaptation With Robust Pseudo-Label Loss CVPR 2020 Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition Interspeech 2020 SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization CVPR 2020 Spoken Content and Voice Factorization for Few-Shot Speaker Adaptation Interspeech 2020 SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract) AAAI 2020 SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking AAAI 2020 Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words ACL 2020 SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions CVPR 2020 SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation AAAI 2020 SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning EMNLP 2020 Staged Knowledge Distillation for End-to-End Dysarthric Speech Recognition and Speech Attribute Transcription Interspeech 2020 STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval EMNLP 2020 Stanza: A Python Natural Language Processing Toolkit for Many Human Languages ACL 2020 StarGAN v2: Diverse Image Synthesis for Multiple Domains CVPR 2020 State-Aware Tracker for Real-Time Video Object Segmentation CVPR 2020 State-Relabeling Adversarial Active Learning CVPR 2020 Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments Interspeech 2020 STAViS: Spatio-Temporal AudioVisual Saliency Network CVPR 2020 Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020 Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics CVPR 2020 StegaStamp: Invisible Hyperlinks in Physical Photographs CVPR 2020 Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer IJCAI 2020 Stochastic Loss Function AAAI 2020 Stochastic Talking Face Generation Using Latent Distribution Matching Interspeech 2020