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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)

RoQLlama: A Lightweight Romanian Adapted Language Model EMNLP 2024 Rotation-Agnostic Image Representation Learning for Digital Pathology CVPR 2024 RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models NeurIPS 2024 RPSC: Robust Pseudo-Labeling for Semantic Clustering AAAI 2024 RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine EMNLP 2024 RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework EMNLP 2024 RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation CVPR 2024 Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts NeurIPS 2024 RWKV-CLIP: A Robust Vision-Language Representation Learner EMNLP 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention AAAI 2024 S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment AAAI 2024 SA²VP: Spatially Aligned-and-Adapted Visual Prompt AAAI 2024 SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection CVPR 2024 SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding ACL 2024 Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders ACL 2024 Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NeurIPS 2024 Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024 SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset NeurIPS 2024 SAI3D: Segment Any Instance in 3D Scenes CVPR 2024 Sailor: Open Language Models for South-East Asia EMNLP 2024 Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization EMNLP 2024 SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation ICML 2024 Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading NeurIPS 2024 SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024