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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)

From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning EMNLP 2024 From Chaos to Clarity: 3DGS in the Dark NeurIPS 2024 From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models EMNLP 2024 From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation CVPR 2024 From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024 From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NeurIPS 2024 From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking EMNLP 2024 From RAG to Riches: Retrieval Interlaced with Sequence Generation EMNLP 2024 From Role-Play to Drama-Interaction: An LLM Solution ACL 2024 From Sights to Insights: Towards Summarization of Multimodal Clinical Documents ACL 2024 From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Texts EMNLP 2024 From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models NeurIPS 2024 FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning ECCV 2024 Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation CVPR 2024 Frozen CLIP Transformer Is an Efficient Point Cloud Encoder AAAI 2024 Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024 Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning AAAI 2024 FSC: Few-point Shape Completion CVPR 2024 FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion ACML 2024 Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation AAAI 2024 Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing CVPR 2024 Functional Wasserstein Variational Policy Optimization UAI 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion NeurIPS 2024 Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP 2024