Multi-Task Ranking papers, 2023–2026

Multi-objective ranking

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,440 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Multi-Task Ranking papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202356585583252
20241103867100315
2025144758094393
202617579107119480

Representative papers

Spread across years and venues so every edition shows up

All Multi-Task Ranking papers

393 papers, page 7 of 8

  1. NeurIPS 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
  2. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
  3. NeurIPS 2025Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
  4. NeurIPS 2025GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
  5. NeurIPS 2025Gradient-Guided Epsilon Constraint Method for Online Continual Learning
  6. NeurIPS 2025GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
  7. NeurIPS 2025GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
  8. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
  9. NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
  10. NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
  11. NeurIPS 2025IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
  12. NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
  13. NeurIPS 2025Individual Regret in Cooperative Stochastic Multi-Armed Bandits
  14. NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
  15. NeurIPS 2025Large Language Models Miss the Multi-agent Mark
  16. NeurIPS 2025LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
  17. NeurIPS 2025Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
  18. NeurIPS 2025Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
  19. NeurIPS 2025Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
  20. NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
  21. NeurIPS 2025Learning Task-Agnostic Representations through Multi-Teacher Distillation
  22. NeurIPS 2025Learning to Learn with Contrastive Meta-Objective
  23. NeurIPS 2025Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
  24. NeurIPS 2025LIFEBENCH: Evaluating Length Instruction Following in Large Language Models
  25. NeurIPS 2025LLM-PySC2: Starcraft II learning environment for Large Language Models
  26. NeurIPS 2025MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
  27. NeurIPS 2025Meta-World+: An Improved, Standardized, RL Benchmark
  28. NeurIPS 2025MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
  29. NeurIPS 2025MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation
  30. NeurIPS 2025MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
  31. NeurIPS 2025Momentum Multi-Marginal Schrödinger Bridge Matching
  32. NeurIPS 2025MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
  33. NeurIPS 2025MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
  34. NeurIPS 2025MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
  35. NeurIPS 2025Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
  36. NeurIPS 2025Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
  37. NeurIPS 2025Multi-head Temporal Latent Attention
  38. NeurIPS 2025Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
  39. NeurIPS 2025Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
  40. NeurIPS 2025Multi-Objective One-Shot Pruning for Large Language Models
  41. NeurIPS 2025Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
  42. NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
  43. NeurIPS 2025Multi-Token Prediction Needs Registers
  44. NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
  45. NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
  46. NeurIPS 2025NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
  47. NeurIPS 2025Objective Soups: Multilingual Multi-Task Modeling for Speech Processing
  48. NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
  49. NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning
  50. NeurIPS 2025One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning

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FAQ

How many Multi-Task Ranking papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
1,440 in total: 252 in 2023, 315 in 2024, 393 in 2025, 480 in 2026.
How many Multi-Task Ranking papers are at NeurIPS 2026?
NeurIPS 2026 has 175 Multi-Task Ranking papers, versus 144 the year before.
How many Multi-Task Ranking papers are at ICLR 2026?
ICLR 2026 has 79 Multi-Task Ranking papers, versus 75 the year before.
How many Multi-Task Ranking papers are at ICML 2026?
ICML 2026 has 107 Multi-Task Ranking papers, versus 80 the year before.
How many Multi-Task Ranking papers are at CVPR 2026?
CVPR 2026 has 119 Multi-Task Ranking papers, versus 94 the year before.
Which conference publishes the most Multi-Task Ranking papers?
NeurIPS, with 485 papers from 2023 to 2026.

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