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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)

BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? EMNLP 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NeurIPS 2024 Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024 Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NeurIPS 2024 Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024 Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024 Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement CVPR 2024 Boosting Image Restoration via Priors from Pre-trained Models CVPR 2024 Boosting Residual Networks with Group Knowledge AAAI 2024 Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models? EMNLP 2024 Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations CVPR 2024 Boosting the Potential of Large Language Models with an Intelligent Information Assistant NeurIPS 2024 Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NeurIPS 2024 Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition Interspeech 2024 Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension NeurIPS 2024 Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation ICML 2024 Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval ACL 2024 Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models CVPR 2024 Bootstrapping Cognitive Agents with a Large Language Model AAAI 2024 Bootstrapping Large Language Models for Radiology Report Generation AAAI 2024 Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk ACL 2024 Bootstrapping SparseFormers from Vision Foundation Models CVPR 2024 Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation MIDL 2024 Boundary Matters: A Bi-Level Active Finetuning Method NeurIPS 2024