Saved in:
| Main Authors: | Liu, Lihui, Kim, Jinha, Bansal, Vidit |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.08701 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enabling Fine-Grained Operating Points for Black-Box LLMs
by: Beyazit, Ege, et al.
Published: (2025)
by: Beyazit, Ege, et al.
Published: (2025)
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization
by: Park, Jinha, et al.
Published: (2024)
by: Park, Jinha, et al.
Published: (2024)
The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective
by: Kim, Jiin, et al.
Published: (2025)
by: Kim, Jiin, et al.
Published: (2025)
Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection
by: Gautam, Vidit
Published: (2022)
by: Gautam, Vidit
Published: (2022)
On the Similarities of Embeddings in Contrastive Learning
by: Lee, Chungpa, et al.
Published: (2025)
by: Lee, Chungpa, et al.
Published: (2025)
Embedding And Clustering Your Data Can Improve Contrastive Pretraining
by: Merrick, Luke
Published: (2024)
by: Merrick, Luke
Published: (2024)
Graph Structure Refinement with Energy-based Contrastive Learning
by: Zeng, Xianlin, et al.
Published: (2024)
by: Zeng, Xianlin, et al.
Published: (2024)
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
by: Khazanchi, Vidit, et al.
Published: (2024)
by: Khazanchi, Vidit, et al.
Published: (2024)
Transformers Can Do Arithmetic with the Right Embeddings
by: McLeish, Sean, et al.
Published: (2024)
by: McLeish, Sean, et al.
Published: (2024)
Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural Network Performance
by: Seo, Youngmin, et al.
Published: (2024)
by: Seo, Youngmin, et al.
Published: (2024)
Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification
by: Peng, Liang, et al.
Published: (2025)
by: Peng, Liang, et al.
Published: (2025)
Optimization Can Learn Johnson Lindenstrauss Embeddings
by: Tsikouras, Nikos, et al.
Published: (2024)
by: Tsikouras, Nikos, et al.
Published: (2024)
Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deployment
by: Bansal, Aditya, et al.
Published: (2024)
by: Bansal, Aditya, et al.
Published: (2024)
Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
by: Liu, Junlong, et al.
Published: (2024)
by: Liu, Junlong, et al.
Published: (2024)
Relaxed Contrastive Learning for Federated Learning
by: Seo, Seonguk, et al.
Published: (2024)
by: Seo, Seonguk, et al.
Published: (2024)
SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative Decoding
by: Bang, Jehyeon, et al.
Published: (2026)
by: Bang, Jehyeon, et al.
Published: (2026)
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
by: Liu, Kang
Published: (2024)
by: Liu, Kang
Published: (2024)
A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning
by: Hieu, Nong Minh, et al.
Published: (2026)
by: Hieu, Nong Minh, et al.
Published: (2026)
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?
by: Dipta, Shubhashis Roy, et al.
Published: (2024)
by: Dipta, Shubhashis Roy, et al.
Published: (2024)
Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statements
by: Sousa, Rita T., et al.
Published: (2025)
by: Sousa, Rita T., et al.
Published: (2025)
Temperature-Free Loss Function for Contrastive Learning
by: Kim, Bum Jun, et al.
Published: (2025)
by: Kim, Bum Jun, et al.
Published: (2025)
Decoupled Contrastive Learning for Federated Learning
by: Kim, Hyungbin, et al.
Published: (2025)
by: Kim, Hyungbin, et al.
Published: (2025)
Probabilistic Variational Contrastive Learning
by: Jeong, Minoh, et al.
Published: (2025)
by: Jeong, Minoh, et al.
Published: (2025)
Accelerating Ensemble Error Bar Prediction with Single Models Fits
by: Agrawal, Vidit, et al.
Published: (2024)
by: Agrawal, Vidit, et al.
Published: (2024)
A Morse Transform for Drug Discovery
by: Tanaka, Alexander M., et al.
Published: (2025)
by: Tanaka, Alexander M., et al.
Published: (2025)
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network
by: Guan, Weijie, et al.
Published: (2025)
by: Guan, Weijie, et al.
Published: (2025)
Contrastive Learning of Asset Embeddings from Financial Time Series
by: Dolphin, Rian, et al.
Published: (2024)
by: Dolphin, Rian, et al.
Published: (2024)
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
by: Jiang, Yichen, et al.
Published: (2024)
by: Jiang, Yichen, et al.
Published: (2024)
Subset-Contrastive Multi-Omics Network Embedding
by: Avelar, Pedro Henrique da Costa, et al.
Published: (2025)
by: Avelar, Pedro Henrique da Costa, et al.
Published: (2025)
Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement
by: Forouzandeh, Saman, et al.
Published: (2025)
by: Forouzandeh, Saman, et al.
Published: (2025)
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
by: Jung, Minseop, et al.
Published: (2024)
by: Jung, Minseop, et al.
Published: (2024)
Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement
by: Liu, Nian, et al.
Published: (2026)
by: Liu, Nian, et al.
Published: (2026)
HSTU-BLaIR: Lightweight Contrastive Text Embedding for Generative Recommender
by: Liu, Yijun
Published: (2025)
by: Liu, Yijun
Published: (2025)
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
by: Uesaka, Toshimitsu, et al.
Published: (2024)
by: Uesaka, Toshimitsu, et al.
Published: (2024)
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning
by: Xie, Shifeng, et al.
Published: (2025)
by: Xie, Shifeng, et al.
Published: (2025)
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
Benchmarking Offline Multi-Objective Reinforcement Learning in Critical Care
by: Bansal, Aryaman, et al.
Published: (2025)
by: Bansal, Aryaman, et al.
Published: (2025)
$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
by: Wang, Zihao, et al.
Published: (2026)
by: Wang, Zihao, et al.
Published: (2026)
Embed and Emulate: Contrastive representations for simulation-based inference
by: Jiang, Ruoxi, et al.
Published: (2024)
by: Jiang, Ruoxi, et al.
Published: (2024)
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
by: Long, Zijun, et al.
Published: (2024)
by: Long, Zijun, et al.
Published: (2024)
Similar Items
-
Enabling Fine-Grained Operating Points for Black-Box LLMs
by: Beyazit, Ege, et al.
Published: (2025) -
Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization
by: Park, Jinha, et al.
Published: (2024) -
The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective
by: Kim, Jiin, et al.
Published: (2025) -
Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection
by: Gautam, Vidit
Published: (2022) -
On the Similarities of Embeddings in Contrastive Learning
by: Lee, Chungpa, et al.
Published: (2025)