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Representation Learning

20,822 papers

Papers per year

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Papers

Marginal Causal Flows for Validation and Inference NIPS 2024
Semantic Routing via Autoregressive Modeling NIPS 2024
Score-based 3D molecule generation with neural fields NIPS 2024
On Sparse Canonical Correlation Analysis NIPS 2024
Conditioning non-linear and infinite-dimensional diffusion processes NIPS 2024
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments NIPS 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NIPS 2024
Slot State Space Models NIPS 2024
Identifying Selections for Unsupervised Subtask Discovery NIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99% NIPS 2024
Navigating the Effect of Parametrization for Dimensionality Reduction NIPS 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NIPS 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NIPS 2024
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model NIPS 2024
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NIPS 2024
High-Resolution Image Harmonization with Adaptive-Interval Color Transformation NIPS 2024
IF-Font: Ideographic Description Sequence-Following Font Generation NIPS 2024
Language Models as Hierarchy Encoders NIPS 2024
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training NIPS 2024
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing NIPS 2024
Towards Universal Mesh Movement Networks NIPS 2024
Natural Counterfactuals With Necessary Backtracking NIPS 2024
How Diffusion Models Learn to Factorize and Compose NIPS 2024
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations NIPS 2024