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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)

The State of Sparse Training in Deep Reinforcement Learning ICML 2022 The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022 The Tree Loss: Improving Generalization with Many Classes AISTATS 2022 The (Undesired) Attenuation of Human Biases by Multilinguality EMNLP 2022 The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning NeurIPS 2022 The USTC-NELSLIP Offline Speech Translation Systems for IWSLT 2022 ACL 2022 The Xiaomi Text-to-Text Simultaneous Speech Translation System for IWSLT 2022 ACL 2022 The YiTrans Speech Translation System for IWSLT 2022 Offline Shared Task ACL 2022 Things not Written in Text: Exploring Spatial Commonsense from Visual Signals ACL 2022 Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation EMNLP 2022 Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints CVPR 2022 Thin-Plate Spline Motion Model for Image Animation CVPR 2022 Third-Party Aligner for Neural Word Alignments EMNLP 2022 Three Real-World Datasets and Neural Computational Models for Classification Tasks in Patent Landscaping EMNLP 2022 Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds CVPR 2022 Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract) AAAI 2022 TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base EMNLP 2022 TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs AAAI 2022 Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NeurIPS 2022 Time-aware Prompting for Text Generation EMNLP 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NeurIPS 2022 TimeLMs: Diachronic Language Models from Twitter ACL 2022 TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation CVPR 2022 Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters EMNLP 2022 Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation EMNLP 2022