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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)

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis CVPR 2021 Formalizing the Generalization-Forgetting Trade-off in Continual Learning NeurIPS 2021 Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning Interspeech 2021 Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors CVPR 2021 Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules CVPR 2021 Fourier Bases for Solving Permutation Puzzles AISTATS 2021 Fourier Contour Embedding for Arbitrary-Shaped Text Detection CVPR 2021 Fourier Space Losses for Efficient Perceptual Image Super-Resolution ICCV 2021 FrameExit: Conditional Early Exiting for Efficient Video Recognition CVPR 2021 Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization EMNLP 2021 Free Lunch for Few-shot Learning: Distribution Calibration ICLR 2021 Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection CVPR 2021 Frequency Consistent Adaptation for Real World Super Resolution AAAI 2021 Fricative Phoneme Detection Using Deep Neural Networks and its Comparison to Traditional Methods Interspeech 2021 Frivolous Units: Wider Networks Are Not Really That Wide AAAI 2021 From back to the roots into the gated woods: Deep learning for NLP NAACL 2021 From Label Smoothing to Label Relaxation AAAI 2021 From None to Severe: Predicting Severity in Movie Scripts EMNLP 2021 From Points to Multi-Object 3D Reconstruction CVPR 2021 From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach CVPR 2021 From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations EMNLP 2021 From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation CVPR 2021 FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 2021 FSDR: Frequency Space Domain Randomization for Domain Generalization CVPR 2021 Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction CVPR 2021