Volume 328: Third Conference on Parsimony and Learning, 23-26 March 2026, Tübingen, Germany
Editors: Rebekka Burkholz, Shiwei Liu, Saiprasad Ravishankar, William Redman, Wei Huang, Weijie Su, Zhihui Zhu
Semantic Homogeneity As Demonstration: Batch-Structured Semi-Supervised In-Context Learning for Natural Language Understanding
Conference on Parsimony and Learning, PMLR 328:1-23
Improving Medical Visual Reinforcement Fine-Tuning via Perception and Reasoning Augmentation
Conference on Parsimony and Learning, PMLR 328:24-41
ROSE: Reordered SparseGPT for More Accurate One-Shot Large Language Models Pruning
Conference on Parsimony and Learning, PMLR 328:42-60
AlphaFormer: End-to-End Symbolic Regression of Alpha Factors with Transformers
Conference on Parsimony and Learning, PMLR 328:61-82
From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent
Conference on Parsimony and Learning, PMLR 328:83-103
Panza: Investigating the Feasibility of Fully-Local Personalized Text Generation
Conference on Parsimony and Learning, PMLR 328:104-130
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion
Conference on Parsimony and Learning, PMLR 328:131-163
SPIKE: Sparse Koopman Regularization for Physics-Informed Neural Networks
Conference on Parsimony and Learning, PMLR 328:164-191
Cannistraci-Hebb Training with N:M Semi-Structured Sparsity for Pre-Training and Re-Training
Conference on Parsimony and Learning, PMLR 328:192-217
Lattice-Based Vector Quantization for Low-Bit Quantization-Aware Training
Conference on Parsimony and Learning, PMLR 328:218-241
ShapLoRA: Allocation of Low-rank Adaption on Large Language Models via Shapley Value Inspired Importance Estimation
Conference on Parsimony and Learning, PMLR 328:242-264
LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs
Conference on Parsimony and Learning, PMLR 328:265-284
Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cramér Surrogate
Conference on Parsimony and Learning, PMLR 328:285-313
Analyzing and Mitigating Model Collapse in Reflow Methods
Conference on Parsimony and Learning, PMLR 328:314-340
Stochastic Unrolled Neural Networks
Conference on Parsimony and Learning, PMLR 328:341-359
Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems
Conference on Parsimony and Learning, PMLR 328:360-374
Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs
Conference on Parsimony and Learning, PMLR 328:375-427
Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
Conference on Parsimony and Learning, PMLR 328:428-500
Pruned Adaptation Modules: A Simple yet Strong Baseline for Continual Foundation Models
Conference on Parsimony and Learning, PMLR 328:501-515
Token-Aware Representation Augmentation for Fine-Grained Semi-Supervised Learning
Conference on Parsimony and Learning, PMLR 328:516-528
MMA:Benchmarking Multi-ModalLarge Language Models in Ambiguity Contexts
Conference on Parsimony and Learning, PMLR 328:529-551
Optimal k-Discretization Learning
Conference on Parsimony and Learning, PMLR 328:552-564
Deep Neural Regression Collapse
Conference on Parsimony and Learning, PMLR 328:565-591
HINT: Harnessing IN-context Training to enhance continual generalization
Conference on Parsimony and Learning, PMLR 328:592-604
A Continuous Measure of Simplicity for Supervised Learning
Conference on Parsimony and Learning, PMLR 328:605-645
In-context Pre-training of Graph Neural Networks for Recommendation
Conference on Parsimony and Learning, PMLR 328:646-659
Revisiting Subnetwork Similarity in Random Pre-trained Transformers
Conference on Parsimony and Learning, PMLR 328:660-673
Rethinking Parameter-Efficient Fine-Tuning: An Implicit Regularization Perspective
Conference on Parsimony and Learning, PMLR 328:674-722
Efficient Continual Pre-training by Subnetwork Selection
Conference on Parsimony and Learning, PMLR 328:723-744
Generalization Properties of Matrix Factorization via Explicit Rank Penalty
Conference on Parsimony and Learning, PMLR 328:745-763
Sparse Model Identification: Algorithms and Applications
Conference on Parsimony and Learning, PMLR 328:764-793
Towards Better Understanding of Parsimonious Models
Conference on Parsimony and Learning, PMLR 328:794-817