Machine Learning

Contrastive Learning for Task-Independent SpeechLLM-Pretraining ACL 2025 Contrastive Learning from Synthetic Audio Doppelgängers ICLR 2025 Contrastive Learning of Image Representations Guided by Spatial Relations WACV 2025 Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing ACL 2025 Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry EMNLP 2025 Contrastive Localized Language-Image Pre-Training ICML 2025 Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder AAAI 2025 Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models ACL 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion ICML 2025 Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering ACL 2025 Contrastive Representation for Interactive Recommendation AAAI 2025 Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation ICCV 2025 Contrastive Unlearning: A Contrastive Approach to Machine Unlearning IJCAI 2025 Contrastive Visual Data Augmentation ICML 2025 Control and Realism: Best of Both Worlds in Layout-to-Image without Training ICML 2025 Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net AAAI 2025 Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation ICLR 2025 Controllable Clustering with LLM-driven Embeddings EMNLP 2025 Controllable Context Sensitivity and the Knob Behind It ICLR 2025 Controllable Data Generation with Hierarchical Neural Representations ICML 2025 Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation ICCV 2025 Controllable Generation via Locally Constrained Resampling ICLR 2025 Controllable Latent Space Augmentation for Digital Pathology ICCV 2025 Controllable Memorization in LLMs via Weight Pruning EMNLP 2025 Controllable Style Arithmetic with Language Models ACL 2025