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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)

Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding NeurIPS 2024 ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing CVPR 2024 ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models NeurIPS 2024 OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task EMNLP 2024 Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024 OHTA: One-shot Hand Avatar via Data-driven Implicit Priors CVPR 2024 OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer EMNLP 2024 OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding NeurIPS 2024 OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems EMNLP 2024 OMG-Seg: Is One Model Good Enough For All Segmentation? CVPR 2024 OmniControl: Control Any Joint at Any Time for Human Motion Generation ICLR 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents NeurIPS 2024 Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency AAAI 2024 OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees CVPR 2024 OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning CVPR 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts CVPR 2024 OmniVec: Learning Robust Representations With Cross Modal Sharing WACV 2024 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024 One2Set + Large Language Model: Best Partners for Keyphrase Generation EMNLP 2024 One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning CVPR 2024 One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment ICML 2024 One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection NeurIPS 2024 On Eliciting Syntax from Language Models via Hashing EMNLP 2024