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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)

BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024 Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking NeurIPS 2024 BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets ACL 2024 Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale EMNLP 2024 Breaking Semantic Artifacts for Generalized AI-generated Image Detection NeurIPS 2024 Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval EMNLP 2024 Bridge the Points: Graph-based Few-shot Segment Anything Semantically NeurIPS 2024 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NeurIPS 2024 Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses ICML 2024 Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning EMNLP 2024 Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection CVPR 2024 Bridging the Gap: Transfer Learning from English PLMs to Malaysian English ACL 2024 Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need AAAI 2024 Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment CVPR 2024 Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model AAAI 2024 BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation CVPR 2024 B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation AAAI 2024 BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning CVPR 2024 BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes NeurIPS 2024 Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception CVPR 2024 Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks EMNLP 2024 Building Variable-Sized Models via Learngene Pool AAAI 2024 Building Vision-Language Models on Solid Foundations with Masked Distillation CVPR 2024 BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges ICML 2024 By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting EMNLP 2024