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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)

Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks CVPR 2021 ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection EMNLP 2021 Prototype Augmentation and Self-Supervision for Incremental Learning CVPR 2021 Prototype Completion With Primitive Knowledge for Few-Shot Learning CVPR 2021 Prototype-Guided Saliency Feature Learning for Person Search CVPR 2021 Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing CVPR 2021 Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation CVPR 2021 Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation CVPR 2021 Prototypical Representation Learning for Relation Extraction ICLR 2021 Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise ICML 2021 Provably Secure Federated Learning against Malicious Clients AAAI 2021 Proxy Indicators for the Quality of Open-domain Dialogues EMNLP 2021 Pruning of Deep Spiking Neural Networks through Gradient Rewiring IJCAI 2021 Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution EMNLP 2021 PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning AAAI 2021 PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning AAAI 2021 PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector AAAI 2021 Pushing It Out of the Way: Interactive Visual Navigation CVPR 2021 Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features EMNLP 2021 Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation EMNLP 2021 PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features CVPR 2021 PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds CVPR 2021 Pyramidal Feature Shrinking for Salient Object Detection AAAI 2021 QActor: Active Learning on Noisy Labels ACML 2021 QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining ACL 2021