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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)

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models ACL 2024 Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NeurIPS 2024 AGILE: A Novel Reinforcement Learning Framework of LLM Agents NeurIPS 2024 A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024 AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings EMNLP 2024 A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks ICLR 2024 A Grounded Preference Model for LLM Alignment ACL 2024 AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024 A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024 A Hierarchical Network for Multimodal Document-Level Relation Extraction AAAI 2024 AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System AAAI 2024 AIST AIRC Systems for the WMT 2024 Shared Tasks EMNLP 2024 A Joint Coreference-Aware Approach to Document-Level Target Sentiment Analysis ACL 2024 A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification Interspeech 2024 A Kernel Perspective on Distillation-based Collaborative Learning NeurIPS 2024 ALaRM: Align Language Models via Hierarchical Rewards Modeling ACL 2024 AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data NeurIPS 2024 A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models EMNLP 2024 ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data ICML 2024 Algebraic Positional Encodings NeurIPS 2024 Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering CVPR 2024 Align Before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition CVPR 2024 AlignCap: Aligning Speech Emotion Captioning to Human Preferences EMNLP 2024 AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations EMNLP 2024 Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning ICML 2024