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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)

Aligner: Efficient Alignment by Learning to Correct NeurIPS 2024 Aligners: Decoupling LLMs and Alignment EMNLP 2024 Aligning Audio-Visual Joint Representations with an Agentic Workflow NeurIPS 2024 Aligning Diffusion Models by Optimizing Human Utility NeurIPS 2024 Aligning Language Models to Explicitly Handle Ambiguity EMNLP 2024 Aligning Large Language Models via Fine-grained Supervision ACL 2024 Aligning Large Language Models with Diverse Political Viewpoints EMNLP 2024 Aligning Logits Generatively for Principled Black-Box Knowledge Distillation CVPR 2024 Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models ECCV 2024 Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms NeurIPS 2024 Alignment-Based Decoding Policy for Low-Latency and Anticipation-Free Neural Japanese Input Method Editors ACL 2024 Alignment for Honesty NeurIPS 2024 AlignNet: Learning dataset score alignment functions to enable better training of speech quality estimators Interspeech 2024 AlignRE: An Encoding and Semantic Alignment Approach for Zero-Shot Relation Extraction ACL 2024 AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning CVPR 2024 AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference EMNLP 2024 Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework ICLR 2024 All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models AAAI 2024 AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery NeurIPS 2024 Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages EACL 2024 Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering NeurIPS 2024 All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation NeurIPS 2024 All Languages Matter: On the Multilingual Safety of LLMs ACL 2024 AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning IJCAI 2024 AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation CVPR 2024