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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)

Generative Powers of Ten CVPR 2024 Generative Retrieval Meets Multi-Graded Relevance NeurIPS 2024 Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation EMNLP 2024 Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research EMNLP 2024 GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation EMNLP 2024 Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal CVPR 2024 GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping NeurIPS 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs ICLR 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024 Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection EMNLP 2024 G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping CVPR 2024 GLaMM: Pixel Grounding Large Multimodal Model CVPR 2024 GLBench: A Comprehensive Benchmark for Graph with Large Language Models NeurIPS 2024 GLID: Pre-training a Generalist Encoder-Decoder Vision Model CVPR 2024 GlitchBench: Can Large Multimodal Models Detect Video Game Glitches? CVPR 2024 GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time AAAI 2024 Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing EMNLP 2024 GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval AAAI 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024 GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024 Goal Conditioned Reinforcement Learning for Photo Finishing Tuning NeurIPS 2024 GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning ECCV 2024 GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration EMNLP 2024 GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation CVPR 2024