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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 Hidden Folk: Linguistic Properties Encoded in Multilingual Contextual Character Representations ACL 2023 The hidden uniform cluster prior in self-supervised learning ICLR 2023 The Importance of Anti-Aliasing in Tiny Object Detection ACML 2023 The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation EMNLP 2023 The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers ICLR 2023 The Learnability of In-Context Learning NeurIPS 2023 The Less the Merrier? Investigating Language Representation in Multilingual Models EMNLP 2023 The Locality and Symmetry of Positional Encodings EMNLP 2023 The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks ACL 2023 The NiuTrans End-to-End Speech Translation System for IWSLT23 English-to-Chinese Offline Task ACL 2023 The Numerical Stability of Hyperbolic Representation Learning ICML 2023 Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023 The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion ICCV 2023 The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning ICML 2023 The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation NeurIPS 2023 The SpeeD--ZevoTech submission at DISPLACE 2023 Interspeech 2023 The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction EMNLP 2023 The Transient Nature of Emergent In-Context Learning in Transformers NeurIPS 2023 The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023 The Unreasonable Effectiveness of Few-shot Learning for Machine Translation ICML 2023 The Web Can Be Your Oyster for Improving Language Models ACL 2023 The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding ACL 2023 The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task ACL 2023 This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations NeurIPS 2023 Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning CVPR 2023