:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Tongzhou, Isola, Phillip
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2211.15120
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Platonic Representation Hypothesis
by: Huh, Minyoung, et al.
Published: (2024)

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
by: Myers, Vivek, et al.
Published: (2025)

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
by: Gan, Yulu, et al.
Published: (2026)

QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning
by: Hossain, Jumman, et al.
Published: (2024)

Intrinsic-Energy Joint Embedding Predictive Architectures Induce Quasimetric Spaces
by: Kobanda, Anthony, et al.
Published: (2026)

Canonicalizing Multimodal Contrastive Representation Learning
by: Gupta, Sharut, et al.
Published: (2026)

Quasimetric Value Functions with Dense Rewards
by: Valieva, Khadichabonu, et al.
Published: (2024)

Personalized Representation from Personalized Generation
by: Sundaram, Shobhita, et al.
Published: (2024)

The Truth Lies Somewhere in the Middle (of the Generated Tokens)
by: Wang, Sophie L., et al.
Published: (2026)

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning
by: Kobanda, Anthony, et al.
Published: (2025)

Words That Make Language Models Perceive
by: Wang, Sophie L., et al.
Published: (2025)

Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning
by: Zheng, Bill Chunyuan, et al.
Published: (2025)

Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning
by: Giammarino, Vittorio, et al.
Published: (2025)

Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences
by: Bahng, Hyojin, et al.
Published: (2025)

CycleGAN with Better Cycles
by: Wang, Tongzhou, et al.
Published: (2024)

Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
by: Gupta, Sharut, et al.
Published: (2025)

Adaptive Length Image Tokenization via Recurrent Allocation
by: Duggal, Shivam, et al.
Published: (2024)

When Does Perceptual Alignment Benefit Vision Representations?
by: Sundaram, Shobhita, et al.
Published: (2024)

Scalable Optimization in the Modular Norm
by: Large, Tim, et al.
Published: (2024)

Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
by: Pouplin, Thomas, et al.
Published: (2024)

Fairness Aware Reward Optimization
by: Choi, Ching Lam, et al.
Published: (2026)

Training Transformers with Enforced Lipschitz Constants
by: Newhouse, Laker, et al.
Published: (2025)

Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
by: Liao, Tongzhou, et al.
Published: (2024)

Single-pass Adaptive Image Tokenization for Minimum Program Search
by: Duggal, Shivam, et al.
Published: (2025)

Training Neural Networks from Scratch with Parallel Low-Rank Adapters
by: Huh, Minyoung, et al.
Published: (2024)

Probabilistic World Modeling with Asymmetric Distance Measure
by: Song, Meng
Published: (2024)

Interval-Valued Time Series Classification Using $D_K$-Distance
by: Tian, Wan, et al.
Published: (2025)

DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
by: Mu, Tongzhou, et al.
Published: (2024)

ReasonCACHE: Teaching LLMs To Reason Without Weight Updates
by: Gupta, Sharut, et al.
Published: (2026)

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
by: Fu, Stephanie, et al.
Published: (2023)

Characterizing Model Robustness via Natural Input Gradients
by: Rodríguez-Muñoz, Adrián, et al.
Published: (2024)

Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation
by: Wang, Weihua, et al.
Published: (2024)

Relative Error Embeddings for the Gaussian Kernel Distance
by: Chen, Di, et al.
Published: (2016)

Asymmetric Duos: Sidekicks Improve Uncertainty
by: Zhou, Tim G., et al.
Published: (2025)

Diffusion Representation for Asymmetric Kernels
by: Gomez, Alvaro Almeida, et al.
Published: (2024)

Advancing Ligand-based Virtual Screening and Molecular Generation with Pretrained Molecular Embedding Distance
by: Wa, Shiyun, et al.
Published: (2026)

Conformalized Percentile Interval: Finite Sample Validity and Improved Conditional Performance
by: Zou, Ran, et al.
Published: (2026)

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2023)

Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
by: Shen, William, et al.
Published: (2023)

Distance-Preserving Representations for Genomic Spatial Reconstruction
by: Zhou, Wenbin, et al.
Published: (2024)