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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)

GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding ICCV 2023 GeoMVSNet: Learning Multi-View Stereo With Geometry Perception CVPR 2023 GeoNet: Benchmarking Unsupervised Adaptation Across Geographies CVPR 2023 GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising NeurIPS 2023 GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation CVPR 2023 GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding ACL 2023 GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023 GLCC: A General Framework for Graph-Level Clustering AAAI 2023 GLIGEN: Open-Set Grounded Text-to-Image Generation CVPR 2023 Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition ACL 2023 Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions CVPR 2023 GlobalFlowNet: Video Stabilization Using Deep Distilled Global Motion Estimates WACV 2023 Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos AAAI 2023 Global-Local Regularization Via Distributional Robustness AISTATS 2023 Global Mixup: Eliminating Ambiguity with Clustering AAAI 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 GlotLID: Language Identification for Low-Resource Languages EMNLP 2023 GLUECons: A Generic Benchmark for Learning under Constraints AAAI 2023 GlyphControl: Glyph Conditional Control for Visual Text Generation NeurIPS 2023 GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images CVPR 2023 GMU Systems for the IWSLT 2023 Dialect and Low-resource Speech Translation Tasks ACL 2023 GNeSF: Generalizable Neural Semantic Fields NeurIPS 2023 Goal-Conditioned Generators of Deep Policies AAAI 2023 Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NeurIPS 2023 Goal-Conditioned Q-learning as Knowledge Distillation AAAI 2023