:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kang, Liwei, Lee, Wee Sun
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2404.02754
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Empirical Complexity of Reasoning and Planning in LLMs
by: Kang, Liwei, et al.
Published: (2024)

Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
by: Fu, Guoji, et al.
Published: (2025)

EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning
by: Ma, Jianfei, et al.
Published: (2025)

The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
by: Chen, Ruitao, et al.
Published: (2024)

Continual Reinforcement Learning by Planning with Online World Models
by: Liu, Zichen, et al.
Published: (2025)

DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts
by: Sun, Guiquan, et al.
Published: (2026)

EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
by: Aravindan, Siddharth, et al.
Published: (2025)

Trusted Multi-view Learning for Long-tailed Classification
by: Tang, Chuanqing, et al.
Published: (2025)

Differentiable Tree Search Network
by: Mittal, Dixant, et al.
Published: (2024)

Distilling Long-tailed Datasets
by: Zhao, Zhenghao, et al.
Published: (2024)

Low-rank Matrix Bandits with Heavy-tailed Rewards
by: Kang, Yue, et al.
Published: (2024)

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
by: Wang, Haohui, et al.
Published: (2023)

Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
by: Aimar, Emanuel Sanchez, et al.
Published: (2023)

Rethinking the Bias of Foundation Model under Long-tailed Distribution
by: Chen, Jiahao, et al.
Published: (2025)

Long-tailed Recognition with Model Rebalancing
by: Luo, Jiaan, et al.
Published: (2025)

Locality Sensitive Sparse Encoding for Learning World Models Online
by: Liu, Zichen, et al.
Published: (2024)

Graph Neural Networks with a Distribution of Parametrized Graphs
by: Lee, See Hian, et al.
Published: (2023)

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
by: Hong, Chenxing, et al.
Published: (2024)

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition
by: Du, Chaoqun, et al.
Published: (2025)

Prototype-Aligned Federated Soft-Prompts for Continual Web Personalization
by: Xiao, Canran, et al.
Published: (2026)

Conformal Prediction Meets Long-tail Classification
by: Liu, Shuqi, et al.
Published: (2025)

Is Prompt Selection Necessary for Task-Free Online Continual Learning?
by: Park, Seoyoung, et al.
Published: (2026)

APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation
by: Zhou, Yuzhen, et al.
Published: (2025)

Task-Core Memory Management and Consolidation for Long-term Continual Learning
by: Huai, Tianyu, et al.
Published: (2025)

Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
by: Hoang, Cuong Manh, et al.
Published: (2025)

Learning from Noisy Labels for Long-tailed Data via Optimal Transport
by: Li, Mengting, et al.
Published: (2024)

Chunking: Continual Learning is not just about Distribution Shift
by: Lee, Thomas L., et al.
Published: (2023)

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds
by: Fu, Guoji, et al.
Published: (2026)

Making Reliable and Flexible Decisions in Long-tailed Classification
by: Li, Bolian, et al.
Published: (2025)

SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
by: Park, Sanglee, et al.
Published: (2024)

PF-GNN: Differentiable particle filtering based approximation of universal graph representations
by: Dupty, Mohammed Haroon, et al.
Published: (2024)

Optimal Task Order for Continual Learning of Multiple Tasks
by: Li, Ziyan, et al.
Published: (2025)

Distributed-Order Fractional Graph Operating Network
by: Zhao, Kai, et al.
Published: (2024)

Extracting Clean and Balanced Subset for Noisy Long-tailed Classification
by: Li, Zhuo, et al.
Published: (2024)

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning
by: Dai, Hao, et al.
Published: (2025)

Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing
by: Fu, Guoji, et al.
Published: (2023)

Doubly Perturbed Task Free Continual Learning
by: Lee, Byung Hyun, et al.
Published: (2023)

Representation-Aligned Multi-Scale Personalization for Federated Learning
by: Liang, Wenfei, et al.
Published: (2026)

SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization
by: Zheng, Zhi, et al.
Published: (2025)

Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
by: Lee, Daehee, et al.
Published: (2024)