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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)

Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication EMNLP 2024 Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning AAAI 2024 Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning CVPR 2024 Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction ACL 2024 Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models ICML 2024 Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis ACL 2024 Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples CVPR 2024 Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation AAAI 2024 Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024 Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning UAI 2024 Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video AAAI 2024 BiasDora: Exploring Hidden Biased Associations in Vision-Language Models EMNLP 2024 BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization ACL 2024 Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining ACL 2024 BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence ACL 2024 Bi-directional Adapter for Multimodal Tracking AAAI 2024 Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024 Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining CVPR 2024 Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NeurIPS 2024 BigGait: Learning Gait Representation You Want by Large Vision Models CVPR 2024 BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks EMNLP 2024 Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness CVPR 2024 Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation CVPR 2024 Binding Touch to Everything: Learning Unified Multimodal Tactile Representations CVPR 2024 BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains ACL 2024