Representation Learning

ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities MIDL 2024 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning WACV 2024 Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations AAAI 2024 AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor CVPR 2024 A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024 A data-driven model of acoustic speech intelligibility for optimization-based models of speech production Interspeech 2024 Adding SPICE to Life: Speaker Profiling in Multiparty Conversations COLING 2024 ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process ICLR 2024 Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models ACL 2024 Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NeurIPS 2024 Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning NeurIPS 2024 A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024 A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control ECCV 2024 A Dual-module Framework for Counterfactual Estimation over Time ICML 2024 Advancing Regular Language Reasoning in Linear Recurrent Neural Networks NAACL 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NeurIPS 2024 Advection Augmented Convolutional Neural Networks NeurIPS 2024 Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024 Adversarial Score Distillation: When score distillation meets GAN CVPR 2024 Affine Equivariant Networks Based on Differential Invariants CVPR 2024 Affine steerers for structured keypoint description ECCV 2024 A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening NeurIPS 2024 A Fourier Perspective of Feature Extraction and Adversarial Robustness IJCAI 2024 A General Framework for the Analysis of Kernel-based Tests JMLR 2024 A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024