Representation Learning

Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Exploring Correlations of Self-Supervised Tasks for Graphs ICML 2024 Exploring Memorization in Fine-tuned Language Models ACL 2024 Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection AAAI 2024 Extending Multi-modal Contrastive Representations NeurIPS 2024 Extracting Prompts by Inverting LLM Outputs EMNLP 2024 FaceCoresetNet: Differentiable Coresets for Face Set Recognition AAAI 2024 Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning AAAI 2024 FADES: Fair Disentanglement with Sensitive Relevance CVPR 2024 FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NeurIPS 2024 Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations ECCV 2024 Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement AAAI 2024 FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NeurIPS 2024 Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize ICML 2024 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024 Federated Model Heterogeneous Matryoshka Representation Learning NeurIPS 2024 Federated Representation Learning in the Under-Parameterized Regime ICML 2024 FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data ICML 2024 Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024 Few-Shot Shape Recognition by Learning Deep Shape-Aware Features WACV 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting NeurIPS 2024