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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)

Sketch3T: Test-Time Training for Zero-Shot SBIR CVPR 2022 SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches CVPR 2022 Sketching based Representations for Robust Image Classification with Provable Guarantees NeurIPS 2022 Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch NeurIPS 2022 Slimmable Domain Adaptation CVPR 2022 SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning ACL 2022 Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation CVPR 2022 SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages EMNLP 2022 Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning Interspeech 2022 SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022 SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation EMNLP 2022 SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation AAAI 2022 Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data ICML 2022 Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness CVPR 2022 SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation EMNLP 2022 SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation ACML 2022 SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet COLING 2022 SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training NeurIPS 2022 Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance EMNLP 2022 SocioProbe: What, When, and Where Language Models Learn about Sociodemographics EMNLP 2022 So Different Yet So Alike! Constrained Unsupervised Text Style Transfer ACL 2022 Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation EMNLP 2022 Soft-label Learn for No-Intrusive Speech Quality Assessment Interspeech 2022 SoftPatch: Unsupervised Anomaly Detection with Noisy Data NeurIPS 2022 Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022