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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)

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives NeurIPS 2024 Trusted Multi-view Learning with Label Noise IJCAI 2024 Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders EMNLP 2024 Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever ACL 2024 Trustless Audits without Revealing Data or Models ICML 2024 TSMCR: Two-stage Supervised Multi-modality Contrastive Representation for Ultrasound-based Breast Cancer Diagnosis ACML 2024 TSU HITS’s Submissions to the WMT 2024 General Machine Translation Shared Task EMNLP 2024 TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation CVPR 2024 TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024 TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease CVPR 2024 Tunable Hybrid Proposal Networks for the Open World WACV 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning ICLR 2024 Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages ACL 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish EMNLP 2024 Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data AAAI 2024 Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? EMNLP 2024 Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks AAAI 2024 Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance EMNLP 2024 T-VSL: Text-Guided Visual Sound Source Localization in Mixtures CVPR 2024 TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning EMNLP 2024 Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging NeurIPS 2024 Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection ICML 2024 Two Issues with Chinese Spelling Correction and A Refinement Solution ACL 2024