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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)

Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting ICCV 2021 Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion EMNLP 2021 UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning ACL 2021 UniRE: A Unified Label Space for Entity Relation Extraction ACL 2021 UnitedQA: A Hybrid Approach for Open Domain Question Answering ACL 2021 Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation EMNLP 2021 Universal Sentence Representation Learning with Conditional Masked Language Model EMNLP 2021 Universal Spectral Adversarial Attacks for Deformable Shapes CVPR 2021 Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021 UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation Interspeech 2021 UNKs Everywhere: Adapting Multilingual Language Models to New Scripts EMNLP 2021 Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning NeurIPS 2021 Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation ICCV 2021 UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification CVPR 2021 Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination AAAI 2021 Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes AAAI 2021 Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation Interspeech 2021 Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach EMNLP 2021 Unsupervised Contextualized Document Representation EMNLP 2021 Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPI ACML 2021 Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data EMNLP 2021 Unsupervised Deep Video Denoising ICCV 2021 Unsupervised Degradation Representation Learning for Blind Super-Resolution CVPR 2021 Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision CVPR 2021 Unsupervised Disentanglement of Linear-Encoded Facial Semantics CVPR 2021