tmlr

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

A list of paper templates in the area of machine learning.

An Attribute-based Method for Video Anomaly Detection (TMLR 2025)

[TMLR] Offical Implementation of ToMoE: ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning

Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)

Official implementation of "Semantic-Drive": a local-first neuro-symbolic framework for long-tail AV data curation. We utilize open-vocabulary grounding (YOLOE) and multi-VLM consensus to mine safety-critical "Dark Data" within a consumer hardware compute budget.

[TMLR'26] PriSM: Prior-Guided Search Methods for Query Efficient Black-Box Adversarial Attacks

Code for 'Transport with Support: Data-Conditional Diffusion Bridges'

This repository contains the code and scripts to reproduce the results from our paper "HARE: Human-in-the-Loop Algorithmic Recourse", accepted at TMLR 2025.

CRoPS (TMLR)

Native PGAS-Based GCN Training

Reproducibility artifact for the Neurips Workshop: LIGHT on quantization and cue-conditioned reasoning: frozen trials, 15 generation files, 3,078 automated judgments, human annotations, and analysis code

TMLR 2026 | Mechanistic interpretability: attention-head binding (EB*) as a marker of concept emergence. 7 models, 5 architectures (Pythia 160M–2.8B, OLMo-1B, CRFM GPT-2, SmolLM3-3B, Qwen2.5-1.5B), 41 terms.

Official code for the TMLR 2025 paper: "On Joint Regularization and Calibration in Deep Ensembles"

Reproducible benchmark for cold-start adaptability: measures cumulative errors while learning from scratch, not just final accuracy. Published in TMLR 2026.

Code for TMLR manuscript 'Paradoxical noise preference in RNNs'

PAVO-Bench: 50K-turn voice-pipeline data and an 85,041-parameter controller, with TMLR 2026 camera-ready provenance and reproduction code.

BalancedDPO (TMLR 2026): multi-metric alignment for text-to-image diffusion models — majority-vote consensus across preference metrics inside DPO.

Official TMLR implementation of representation-centric prompting for vision-language fusion