{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/multi-task-learning/papers/15","list_of":"/task/multi-task-learning","task":"Multi-Task Learning","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":15,"pages_in_order":37,"rows_per_page":100,"rows":[1401,1500],"of":3687,"counts":{"archive_papers_tagged":3687,"with_a_code_link":1306,"where_syntology_ran_a_sample":260,"not_listed_spam_title":0,"listed":3687,"listed_where_code_ran":260,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":217,"every_run_a_failure_of_syntologys_instrument":43,"listed_with_a_run_with_no_instrument_failure":217,"listed_every_run_a_failure_of_syntologys_instrument":43,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/multi-task-learning","prev":"/task/multi-task-learning/papers/14","next":"/task/multi-task-learning/papers/16","papers":[{"url":null,"slug":"sharper-concentration-inequalities-for-multi","title":"Sharper Risk Bound for Multi-Task Learning with Multi-Graph Dependent Data","date":"2025-02-25","arxiv_id":"2502.18167","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-load-forecasting-for-integrated","title":"Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning","date":"2025-02-24","arxiv_id":"2502.16896","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-modeling-of-individual-behavior-at","title":"Generative Modeling of Individual Behavior at Scale","date":"2025-02-20","arxiv_id":"2502.14998","repositories_listed":0,"syntology":null},{"url":null,"slug":"inter-turbine-modelling-of-wind-farm-power","title":"Inter-turbine Modelling of Wind-Farm Power using Multi-task Learning","date":"2025-02-20","arxiv_id":"2502.14527","repositories_listed":0,"syntology":null},{"url":null,"slug":"aligned-multi-objective-optimization","title":"Aligned Multi Objective Optimization","date":"2025-02-19","arxiv_id":"2502.14096","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-clinical-question-answering-with","title":"Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization","date":"2025-02-18","arxiv_id":"2502.13108","repositories_listed":0,"syntology":null},{"url":null,"slug":"oreo-a-plug-in-context-reconstructor-to","title":"Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation","date":"2025-02-18","arxiv_id":"2502.13019","repositories_listed":0,"syntology":null},{"url":null,"slug":"mazo-masked-zeroth-order-optimization-for","title":"MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models","date":"2025-02-17","arxiv_id":"2502.11513","repositories_listed":0,"syntology":null},{"url":null,"slug":"dt4ecg-a-dual-task-learning-framework-for-ecg","title":"DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection","date":"2025-02-16","arxiv_id":"2502.11023","repositories_listed":0,"syntology":null},{"url":null,"slug":"direct-preference-optimization-enhanced-multi","title":"Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation","date":"2025-02-14","arxiv_id":"2502.12178","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-transparent-and-accurate-plasma-state","title":"Towards Transparent and Accurate Plasma State Monitoring at JET","date":"2025-02-14","arxiv_id":"2502.12182","repositories_listed":0,"syntology":null},{"url":null,"slug":"divide-and-merge-motion-and-semantic-learning","title":"Divide and Merge: Motion and Semantic Learning in End-to-End Autonomous Driving","date":"2025-02-11","arxiv_id":"2502.07631","repositories_listed":0,"syntology":null},{"url":null,"slug":"symbiotic-cooperation-for-web-agents","title":"Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs","date":"2025-02-11","arxiv_id":"2502.07942","repositories_listed":0,"syntology":null},{"url":null,"slug":"wirelessgpt-a-generative-pre-trained-multi","title":"WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication","date":"2025-02-08","arxiv_id":"2502.06877","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-online-learning-for-probabilistic","title":"Multi-task Online Learning for Probabilistic Load Forecasting","date":"2025-02-06","arxiv_id":"2502.04163","repositories_listed":0,"syntology":null},{"url":null,"slug":"omni-dna-a-unified-genomic-foundation-model","title":"Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning","date":"2025-02-05","arxiv_id":"2502.03499","repositories_listed":0,"syntology":null},{"url":null,"slug":"motionlab-unified-human-motion-generation-and","title":"MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm","date":"2025-02-04","arxiv_id":"2502.02358","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-learn-weight-generation-via","title":"Learning to Learn Weight Generation via Local Consistency Diffusion","date":"2025-02-03","arxiv_id":"2502.01117","repositories_listed":0,"syntology":null},{"url":null,"slug":"controllable-neural-architectures-for-multi","title":"Controllable Neural Architectures for Multi-Task Control","date":"2025-01-31","arxiv_id":"2501.19059","repositories_listed":0,"syntology":null},{"url":null,"slug":"citation-recommendation-based-on","title":"Citation Recommendation based on Argumentative Zoning of User Queries","date":"2025-01-30","arxiv_id":"2501.18292","repositories_listed":0,"syntology":null},{"url":null,"slug":"general-embedding-vs-task-specific-embedding","title":"General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance","date":"2025-01-30","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"isam-mtl-cross-subject-multi-task-learning","title":"ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks","date":"2025-01-30","arxiv_id":"2501.18089","repositories_listed":0,"syntology":null},{"url":null,"slug":"glioma-multimodal-mri-analysis-system-for","title":"Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning","date":"2025-01-29","arxiv_id":"2501.17758","repositories_listed":0,"syntology":null},{"url":null,"slug":"stepback-enhanced-disentanglement-for-voice","title":"Stepback: Enhanced Disentanglement for Voice Conversion via Multi-Task Learning","date":"2025-01-26","arxiv_id":"2501.15613","repositories_listed":0,"syntology":null},{"url":null,"slug":"each-rank-could-be-an-expert-single-ranked","title":"Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning","date":"2025-01-25","arxiv_id":"2501.15103","repositories_listed":0,"syntology":null},{"url":null,"slug":"reasvqa-advancing-videoqa-with-imperfect","title":"ReasVQA: Advancing VideoQA with Imperfect Reasoning Process","date":"2025-01-23","arxiv_id":"2501.13536","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-sparsity-learning-optimal-sparse","title":"Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning","date":"2025-01-21","arxiv_id":"2501.12115","repositories_listed":0,"syntology":null},{"url":null,"slug":"colnet-collaborative-optimization-in","title":"ColNet: Collaborative Optimization in Decentralized Federated Multi-task Learning Systems","date":"2025-01-17","arxiv_id":"2501.10347","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangled-interleaving-variational","title":"Disentangled Interleaving Variational Encoding","date":"2025-01-15","arxiv_id":"2501.08710","repositories_listed":0,"syntology":null},{"url":"/paper/xmusic-towards-a-generalized-and-controllable","slug":"xmusic-towards-a-generalized-and-controllable","title":"XMusic: Towards a Generalized and Controllable Symbolic Music Generation Framework","date":"2025-01-15","arxiv_id":"2501.08809","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-cd-remote-sensing-image-semantic","title":"Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting","date":"2025-01-12","arxiv_id":"2501.06808","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaprl-adaptive-pairwise-regression-learning","title":"AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks","date":"2025-01-10","arxiv_id":"2501.05809","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-transfer-in-model-based","title":"Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning","date":"2025-01-09","arxiv_id":"2501.05329","repositories_listed":0,"syntology":null},{"url":null,"slug":"regularising-narx-models-with-multi-task","title":"Regularising NARX models with multi-task learning","date":"2025-01-08","arxiv_id":"2501.04470","repositories_listed":0,"syntology":null},{"url":null,"slug":"tadformer-task-adaptive-dynamic-transformer","title":"TADFormer : Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning","date":"2025-01-08","arxiv_id":"2501.04293","repositories_listed":0,"syntology":null},{"url":null,"slug":"basic-semi-supervised-multi-organ","title":"BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty","date":"2025-01-07","arxiv_id":"2501.03580","repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-speaker-embedding-free-target","title":"Universal Speaker Embedding Free Target Speaker Extraction and Personal Voice Activity Detection","date":"2025-01-07","arxiv_id":"2501.03612","repositories_listed":0,"syntology":null},{"url":null,"slug":"inverse-design-of-optimal-stern-shape-with","title":"Inverse Design of Optimal Stern Shape with Convolutional Neural Network-based Pressure Distribution","date":"2025-01-06","arxiv_id":"2501.03286","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagrammaticlearning-a-graphical-language-for","title":"DiagrammaticLearning: A Graphical Language for Compositional Training Regimes","date":"2025-01-02","arxiv_id":"2501.01515","repositories_listed":0,"syntology":null},{"url":null,"slug":"vulnerability-aware-spatio-temporal-learning","title":"Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection","date":"2025-01-02","arxiv_id":"2501.01184","repositories_listed":0,"syntology":null},{"url":null,"slug":"alien-implicit-neural-representations-for","title":"ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-the-accuracy-of-stock-market","title":"Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure","date":"2025-01-01","arxiv_id":"2501.09760","repositories_listed":0,"syntology":null},{"url":null,"slug":"decouple-then-merge-finetune-diffusion-models","title":"Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-and-mitigating-spurious-1","title":"Identifying and Mitigating Spurious Correlation in Multi-Task Learning","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-scheduling-of-causal-prompts-and-tasks","title":"Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-fairness-in-multitask-learning-a","title":"Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tadformer-task-adaptive-dynamic-transformer-1","title":"TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-consistent-multi-task-learning","title":"Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"z-magic-zero-shot-multiple-attributes-guided","title":"Z-Magic: Zero-shot Multiple Attributes Guided Image Creator","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"metadata-enhanced-speech-emotion-recognition","title":"Metadata-Enhanced Speech Emotion Recognition: Augmented Residual Integration and Co-Attention in Two-Stage Fine-Tuning","date":"2024-12-30","arxiv_id":"2412.20707","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-intrinsic-motivation-of-reinforcement-and","title":"The intrinsic motivation of reinforcement and imitation learning for sequential tasks","date":"2024-12-29","arxiv_id":"2412.20573","repositories_listed":0,"syntology":null},{"url":null,"slug":"unprejudiced-training-auxiliary-tasks-makes","title":"Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective","date":"2024-12-27","arxiv_id":"2412.19547","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-speech-enhancement-with-predicting","title":"Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features","date":"2024-12-26","arxiv_id":"2412.19248","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-large-language-models-with-an","title":"Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks","date":"2024-12-25","arxiv_id":"2412.18729","repositories_listed":0,"syntology":null},{"url":null,"slug":"heterogeneous-transfer-learning-for-high","title":"Heterogeneous transfer learning for high dimensional regression with feature mismatch","date":"2024-12-24","arxiv_id":"2412.18081","repositories_listed":0,"syntology":null},{"url":null,"slug":"htr-jand-handwritten-text-recognition-with","title":"HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation","date":"2024-12-24","arxiv_id":"2412.18524","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-optimization-in-financial-data","title":"Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt","date":"2024-12-23","arxiv_id":"2412.17314","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepfake-detection-image-manipulation","title":"Data-Driven Fairness Generalization for Deepfake Detection","date":"2024-12-21","arxiv_id":"2412.16428","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-centric-improvements-for-enhancing-multi","title":"Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling","date":"2024-12-20","arxiv_id":"2412.15995","repositories_listed":0,"syntology":null},{"url":null,"slug":"extreme-multi-label-completion-for-semantic","title":"Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning","date":"2024-12-18","arxiv_id":"2412.13809","repositories_listed":0,"syntology":null},{"url":null,"slug":"query-centric-audio-visual-cognition-network","title":"Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning","date":"2024-12-18","arxiv_id":"2412.13543","repositories_listed":0,"syntology":null},{"url":null,"slug":"revealing-the-impact-of-synthetic-native","title":"Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection","date":"2024-12-17","arxiv_id":"2412.12761","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-navigate-in-mazes-with-novel","title":"Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps","date":"2024-12-16","arxiv_id":"2412.12024","repositories_listed":0,"syntology":null},{"url":null,"slug":"no-more-tuning-prioritized-multi-task","title":"No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods","date":"2024-12-16","arxiv_id":"2412.12092","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-better-multi-task-learning-a","title":"Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models","date":"2024-12-16","arxiv_id":"2412.11455","repositories_listed":0,"syntology":null},{"url":null,"slug":"evosampling-a-granular-ball-based","title":"EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning","date":"2024-12-12","arxiv_id":"2412.10461","repositories_listed":0,"syntology":null},{"url":null,"slug":"mosld-an-extremely-parameter-efficient","title":"MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning","date":"2024-12-12","arxiv_id":"2412.08946","repositories_listed":0,"syntology":null},{"url":"/paper/multi-task-learning-with-llms-for-implicit","slug":"multi-task-learning-with-llms-for-implicit","title":"Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning","date":"2024-12-12","arxiv_id":"2412.09046","repositories_listed":0,"syntology":null},{"url":null,"slug":"wifo-wireless-foundation-model-for-channel","title":"WiFo: Wireless Foundation Model for Channel Prediction","date":"2024-12-12","arxiv_id":"2412.08908","repositories_listed":0,"syntology":null},{"url":null,"slug":"modula-mixture-of-domain-specific-and","title":"MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning","date":"2024-12-10","arxiv_id":"2412.07405","repositories_listed":0,"syntology":null},{"url":null,"slug":"acq-a-unified-framework-for-automated","title":"ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising","date":"2024-12-09","arxiv_id":"2412.06167","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-multi-task-learning-for-enhanced","title":"Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models","date":"2024-12-09","arxiv_id":"2412.06249","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-entailment-tree-generation-approach-for","title":"An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism","date":"2024-12-08","arxiv_id":"2412.05821","repositories_listed":0,"syntology":null},{"url":null,"slug":"promptrefine-enhancing-few-shot-performance","title":"PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks","date":"2024-12-07","arxiv_id":"2412.05710","repositories_listed":0,"syntology":null},{"url":null,"slug":"tb-hsu-hierarchical-3d-scene-understanding","title":"TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances","date":"2024-12-07","arxiv_id":"2412.05596","repositories_listed":0,"syntology":null},{"url":null,"slug":"mtspark-enabling-multi-task-learning-with","title":"MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents","date":"2024-12-06","arxiv_id":"2412.04847","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-task-grouping-through-samplewise","title":"Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis","date":"2024-12-05","arxiv_id":"2412.04413","repositories_listed":0,"syntology":null},{"url":null,"slug":"mt3dnet-multi-task-learning-network-for-3d","title":"MT3DNet: Multi-Task learning Network for 3D Surgical Scene Reconstruction","date":"2024-12-05","arxiv_id":"2412.03928","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-dense-visual-predictions-through","title":"Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization","date":"2024-12-04","arxiv_id":"2412.03179","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-evaluation-of-large-language-4","title":"A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis","date":"2024-12-03","arxiv_id":"2412.02279","repositories_listed":0,"syntology":null},{"url":null,"slug":"profit-a-proximal-fine-tuning-optimizer-for","title":"PROFIT: A Specialized Optimizer for Deep Fine Tuning","date":"2024-12-02","arxiv_id":"2412.01930","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-feature-enhancement-in-multi-task","title":"Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis","date":"2024-11-30","arxiv_id":"2412.00351","repositories_listed":0,"syntology":null},{"url":null,"slug":"reverse-thinking-makes-llms-stronger","title":"Reverse Thinking Makes LLMs Stronger Reasoners","date":"2024-11-29","arxiv_id":"2411.19865","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-for-integrated-automated","title":"Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy","date":"2024-11-27","arxiv_id":"2411.18767","repositories_listed":0,"syntology":null},{"url":null,"slug":"proactive-gradient-conflict-mitigation-in","title":"Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective","date":"2024-11-27","arxiv_id":"2411.18615","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-arithmetic-through-the-lens-of-one-shot","title":"Task Arithmetic Through The Lens Of One-Shot Federated Learning","date":"2024-11-27","arxiv_id":"2411.18607","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-task-vectors-selective-task-arithmetic","title":"Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics","date":"2024-11-25","arxiv_id":"2411.16139","repositories_listed":0,"syntology":null},{"url":null,"slug":"ramie-retrieval-augmented-multi-task","title":"RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements","date":"2024-11-24","arxiv_id":"2411.15700","repositories_listed":0,"syntology":null},{"url":null,"slug":"trans-glasso-a-transfer-learning-approach-to","title":"Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation","date":"2024-11-23","arxiv_id":"2411.15624","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-reasons-help-improve-pedestrian-intent","title":"Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach","date":"2024-11-20","arxiv_id":"2411.13302","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-latency-task-oriented-communications-with","title":"Low-Latency Task-Oriented Communications with Multi-Round, Multi-Task Deep Learning","date":"2024-11-15","arxiv_id":"2411.10385","repositories_listed":0,"syntology":null},{"url":null,"slug":"y-map-net-real-time-depth-normals","title":"Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images","date":"2024-11-15","arxiv_id":"2411.10334","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-end-to-end-stuttering-detection-method","title":"An End-To-End Stuttering Detection Method Based On Conformer And BILSTM","date":"2024-11-14","arxiv_id":"2411.09479","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-technology-impact-analysis-a-multi","title":"Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction","date":"2024-11-14","arxiv_id":"2411.09184","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-assisted-explicit-and-implicit-multi","title":"LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation","date":"2024-11-14","arxiv_id":"2411.09410","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-multi-task-learning-architecture","title":"A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information","date":"2024-11-11","arxiv_id":"2411.06855","repositories_listed":0,"syntology":null},{"url":null,"slug":"hstrack-bootstrap-end-to-end-multi-camera-3d","title":"SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking","date":"2024-11-11","arxiv_id":"2411.06780","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-head-span-based-detector-for-ai","title":"Multi-head Span-based Detector for AI-generated Fragments in Scientific Papers","date":"2024-11-11","arxiv_id":"2411.07343","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-real-time-simulation-of","title":"Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks","date":"2024-11-08","arxiv_id":"2411.05575","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-multi-modal-mastery-a-4-5b-parameter","title":"Towards Multi-Modal Mastery: A 4.5B Parameter Truly Multi-Modal Small Language Model","date":"2024-11-08","arxiv_id":"2411.05903","repositories_listed":0,"syntology":null}],"record_sha256":"2a43bd410dc92626f9566aaa8ef3b8627a8ff97c467c7e5dc0c6d071117b9d88","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}