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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)

DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NeurIPS 2024 DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging EMNLP 2024 DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping NAACL 2024 DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus NeurIPS 2024 Domain Adaptation for Large-Vocabulary Object Detectors NeurIPS 2024 Domain Adaptation via Prompt Learning for Alzheimer’s Detection EMNLP 2024 Domain Adaptation with Cauchy-Schwarz Divergence UAI 2024 Domain Aligned CLIP for Few-Shot Classification WACV 2024 Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation ACL 2024 Domain-Controlled Prompt Learning AAAI 2024 Domain Generalization with Vital Phase Augmentation AAAI 2024 Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing AAAI 2024 Domain Prompt Learning with Quaternion Networks CVPR 2024 Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation CVPR 2024 Domain Separation Graph Neural Networks for Saliency Object Ranking CVPR 2024 Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation CVPR 2024 Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024 Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration ACL 2024 Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations EMNLP 2024 Don’t Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation ACL 2024 dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans NeurIPS 2024 Do Text-to-Vis Benchmarks Test Real Use of Visualisations? EMNLP 2024 Doubly Abductive Counterfactual Inference for Text-based Image Editing CVPR 2024 Do Vision and Language Encoders Represent the World Similarly? CVPR 2024 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024