Self-Learning

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 125 papers with code (404 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Protoformer: Embedding Prototypes for Transformers
  25 Jun 2022 4 repositories listed
  This paper proposes Protoformer, a novel self-learning framework for Transformers that can leverage problematic samples for text classification.
• Learning Program Synthesis for Integer Sequences from Scratch
  24 Feb 2022 3 repositories listed
  We present a self-learning approach for synthesizing programs from integer sequences.
• Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
  14 Dec 2021 3 repositories listed
  AMR parsing has experienced an unprecendented increase in performance in the last three years, due to a mixture of effects including architecture improvements and transfer learning.
• Domain Adaptation without Source Data
  3 Jul 2020 3 repositories listed
  Our key idea is to leverage a pre-trained model from the source domain and progressively update the target model in a self-learning manner.
• Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments
  28 May 2020 3 repositories listed
  In this paper we present our proof of concept for autonomous self-learning robot navigation in an unknown environment for a real robot without a map or planner.
• Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
  22 Aug 2024 2 repositories listed
  By efficiently exploiting the heterogeneous processing engines of the MCU, the always-on labeling task runs in real-time with an average power cost of up to 8.
• Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing
  20 Apr 2023 2 repositories listed
  This strategy achieves self-learning by sharing knowledge between a principal model and a very light-weight collaborator model.
• MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition
  9 Mar 2023 2 repositories listed Syntology ran 7 of 7 samples · 0 unverified
  However, despite researchers exploring cross-lingual translation techniques such as machine translation and audio speech translation to overcome language barriers, there is still a shortage of cross-lingual studies on…
• Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
  29 Oct 2022 2 repositories listed
  In this work, we propose a self-improving artificial intelligence system to enhance the safety performance of reinforcement learning (RL)-based autonomous driving (AD) agents using black-box verification methods.
• Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification
  2 Sep 2021 2 repositories listed
  Deep neural networks produce state-of-the-art results when trained on a large number of labeled examples but tend to overfit when small amounts of labeled examples are used for training.
• Knowledge Inheritance for Pre-trained Language Models
  28 May 2021 2 repositories listed
  Specifically, we introduce a pre-training framework named "knowledge inheritance" (KI) and explore how could knowledge distillation serve as auxiliary supervision during pre-training to efficiently learn larger PLMs.
• Self-Learning Transformations for Improving Gaze and Head Redirection
  23 Oct 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Furthermore, we show that in the presence of limited amounts of real-world training data, our method allows for improvements in the downstream task of semi-supervised cross-dataset gaze estimation.
• Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019
  8 Oct 2019 2 repositories listed
  Semi-Supervised Domain Adaptation: For this task, we adopt a standard self-learning framework to construct a classifier based on the labeled source and target data, and generate the pseudo labels for unlabeled target…
• A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
  16 May 2018 2 repositories listed
  Recent work has managed to learn cross-lingual word embeddings without parallel data by mapping monolingual embeddings to a shared space through adversarial training.
• Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision
  25 Jun 2025 1 repository listed Syntology ran 8 of 9 samples · 1 unverified · 9 pointer-only (licence)
  Contrastive learning (CL) has become a cornerstone of self-supervised pretraining (SSP) in foundation models, however, extending CL to pixel-wise representation, crucial for medical vision, remains an open problem.
• Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
  4 Jun 2025 1 repository listed
  Autonomous driving promises significant advancements in mobility, road safety and traffic efficiency, yet reinforcement learning and imitation learning face safe-exploration and distribution-shift challenges.
• Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects
  26 May 2025 1 repository listed
  Based on a comprehensive literature review, we present a systematic analysis of the motivations, methodologies, challenges, and future research directions of CoT in autonomous driving.
• Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
  17 May 2025 1 repository listed
  Then, we use these two models to reconstruct HR-HSI from two low-dimensional components, i.
• Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models
  15 May 2025 1 repository listed
  While large language models demonstrate impressive performance on static benchmarks, the true potential of large language models as self-learning and reasoning agents in dynamic environments remains unclear.
• Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification
  6 Apr 2025 1 repository listed
  Deep neural networks face several challenges in hyperspectral image classification, including complex and sparse ground object distributions, small clustered structures, and elongated multi-branch features that often…
• Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition
  16 Mar 2025 1 repository listed
  These curated samples are subsequently used for large-scale multimodal pre-training, completing a self-learning cycle that strengthens the model's cognitive foundation.
• A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
  25 Feb 2025 1 repository listed
  To explicitly capture correlations between contexts surrounding entities, CMAS reformulates NER into two subtasks: recognizing named entities and identifying entity type-related features within the target sentence.
• CoRe-Net: Co-Operational Regressor Network with Progressive Transfer Learning for Blind Radar Signal Restoration
  28 Jan 2025 1 repository listed
  This pilot study introduces a novel model, called Co-Operational Regressor Network (CoRe-Net) for blind radar signal restoration, designed to address such limitations and drawbacks.
• CLISC: Bridging clip and sam by enhanced cam for unsupervised brain tumor segmentation
  27 Jan 2025 1 repository listed
  Brain tumor segmentation is important for diagnosis of the tumor, and current deep-learning methods rely on a large set of annotated images for training, with high annotation costs.
• FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients
  21 Jan 2025 1 repository listed
  Traditional methods encounter significant challenges in achieving high accuracy and handling high-resolution inputs, particularly facing the complex nature of discontinuities and the inefficiencies associated with…
• KBAlign: Efficient Self Adaptation on Specific Knowledge Bases
  22 Nov 2024 1 repository listed
  Although retrieval-augmented generation (RAG) remains essential for knowledge-based question answering (KBQA), current paradigms face critical challenges under specific domains.
• AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
  26 Oct 2024 1 repository listed
  By benchmarking ten models on CMIRB, we establish a rigorous standard for evaluating medical information retrieval systems.
• Optimizing Hearthstone Agents using an Evolutionary Algorithm
  25 Oct 2024 1 repository listed
  Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence.
• SMART: Self-learning Meta-strategy Agent for Reasoning Tasks
  21 Oct 2024 1 repository listed
  This inefficiency raises the question: Can LMs learn to select the optimal strategy in the first attempt, without a need for refinement?
• Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition
  13 Oct 2024 1 repository listed
  In this paper, we introduce the Stratified Domain Adaptation (StrDA) approach, which examines the gradual escalation of the domain gap for the learning process.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.