Model Merging

Generating EDU Extracts for Plan-Guided Summary Re-Ranking ACL 2023 Git Re-Basin: Merging Models modulo Permutation Symmetries ICLR 2023 Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication ICML 2023 Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data IJCAI 2023 HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation ACL 2023 Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion EACL 2023 Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models ICML 2023 Learned Adapters Are Better Than Manually Designed Adapters ACL 2023 LibMTL: A Python Library for Deep Multi-Task Learning JMLR 2023 Lookaround Optimizer: k steps around, 1 step average NeurIPS 2023 Lossless 4-bit Quantization of Architecture Compressed Conformer ASR Systems on the 300-hr Switchboard Corpus Interspeech 2023 Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost AAAI 2023 Mavericks at ArAIEval Shared Task: Towards a Safer Digital Space - Transformer Ensemble Models Tackling Deception and Persuasion EMNLP 2023 Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization NeurIPS 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models NeurIPS 2023 Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization ICML 2023 Model Sparsity Can Simplify Machine Unlearning NeurIPS 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently NeurIPS 2023 Multi-Concept Customization of Text-to-Image Diffusion CVPR 2023 New Insights for the Stability-Plasticity Dilemma in Online Continual Learning ICLR 2023 PRANC: Pseudo RAndom Networks for Compacting Deep Models ICCV 2023 Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling ICML 2023 Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models ICCV 2023 Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? EMNLP 2023