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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)

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-Based Visual Question Answering CVPR 2022 Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning IJCAI 2022 Multi-Centroid Representation Network for Domain Adaptive Person Re-ID AAAI 2022 Multi-class AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data Interspeech 2022 Multicoated Supermasks Enhance Hidden Networks ICML 2022 Multidimensional Belief Quantification for Label-Efficient Meta-Learning CVPR 2022 Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach AAAI 2022 Multi-Frame Self-Supervised Depth With Transformers CVPR 2022 Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning Interspeech 2022 Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts ICML 2022 Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning NeurIPS 2022 MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples NeurIPS 2022 Multi-Head Deep Metric Learning Using Global and Local Representations WACV 2022 Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks AAAI 2022 Multi-Knowledge Aggregation and Transfer for Semantic Segmentation AAAI 2022 Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders EMNLP 2022 Multi-Label Iterated Learning for Image Classification With Label Ambiguity CVPR 2022 Multi Label Loss Correction against Missing and Corrupted Labels ACML 2022 Multi-Level Attentive Adversarial Learning With Temporal Dilation for Unsupervised Video Domain Adaptation WACV 2022 Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model EMNLP 2022 Multi-Level Feature Learning for Contrastive Multi-View Clustering CVPR 2022 Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks IJCAI 2022 Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition Interspeech 2022 Multilingual Abusive Comment Detection at Scale for Indic Languages NeurIPS 2022 Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal Retrieval NeurIPS 2022