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Publication search results
found 195 matches
- 2024
- Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko:
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. Tiny Papers @ ICLR 2024 - C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás:
Tracing Footprints: Neural Networks Meet Non-integer Order Differential Equations For Modelling Systems with Memory. Tiny Papers @ ICLR 2024 - Yutong Hu, Quzhe Huang, Mingxu Tao, Chen Zhang, Yansong Feng:
Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding? Tiny Papers @ ICLR 2024 - Shreya Ghosh, Yi-Huan Chen, Ching-Hsiang Huang, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal, Samuel Labi:
Weighted Branch Aggregation Based Deep Learning Model for Track Detection in Autonomous Racing. Tiny Papers @ ICLR 2024 - Simranjit Singh, Aditya Golatkar, Avijit Verma:
Role of Over-Parameterization in Generalization of 3-layer ReLU Networks. Tiny Papers @ ICLR 2024 - Tong Zhao, Neil Shah, Elham Ghazizadeh:
Learning from Graphs Beyond Message Passing Neural Networks. Tiny Papers @ ICLR 2024 - Chen Zhang, Mingxu Tao, Quzhe Huang, Zhibin Chen, Yansong Feng:
Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang. Tiny Papers @ ICLR 2024 - Danil Afonchikov, Elena Kornaeva, Irina Makovik, Alexey Kornaev:
Native machine learning for noisy microscopic data processing. Tiny Papers @ ICLR 2024 - Deeksha Aggarwal, Yash Mittal, Uttam Kumar:
Advancing Image Classification through Parameter-Efficient Fine-Tuning: A Study on LoRA with Plant Disease Detection Datasets. Tiny Papers @ ICLR 2024 - Ashrya Agrawal, Priyanshi Shah, Sourabh Prakash:
Layered insights into Pyramid feature fusion architecture for SSL. Tiny Papers @ ICLR 2024 - Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy:
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. Tiny Papers @ ICLR 2024 - Faroq Al-Tam, Muhammad Al-Qurishi, Thariq Khalid Kadavil, Riad Souissi:
CMFPN: Context Modeling Meets Feature Pyramid Network. Tiny Papers @ ICLR 2024 - Anas Mohammed Alhumud, Muhammad Al-Qurishi, Yasser Omar Alomar, Ali Alzahrani, Riad Souissi:
Improving Automated Speech Recognition Using Retrieval-Based Voice Conversion. Tiny Papers @ ICLR 2024 - Ahmad Ayaz Amin:
Discrete Natural Evolution Strategies. Tiny Papers @ ICLR 2024 - Gholamali Aminian, Amirhossein Bagheri, Radmehr Karimian, Mahyar JafariNodeh, Mohammad Hossein Yassaee:
Semi-supervised Learning under Self-training via $f$-Divergence. Tiny Papers @ ICLR 2024 - Zhiyu An, Xianzhong Ding, Wan Du:
Reward Bound for Behavioral Guarantee of Model-based Planning Agents. Tiny Papers @ ICLR 2024 - Vatsal Baherwani, Joseph James Vincent:
Racial and Gender Stereotypes Encoded Into CLIP Representations. Tiny Papers @ ICLR 2024 - Adrián Bazaga, Pietro Lio, Gos Micklem:
Language Model Knowledge Distillation for Efficient Question Answering in Spanish. Tiny Papers @ ICLR 2024 - Hadjer Benmeziane:
A Pre-Search Evaluation Framework for Assessing Search Space Complexity. Tiny Papers @ ICLR 2024 - Kirtilekha Bhesra, Shivam Ashok Shukla, Akshay Agarwal:
Audio vs. Text: Identify a Powerful Modality for Effective Hate Speech Detection. Tiny Papers @ ICLR 2024 - Frederic Boesel, Robin Rombach:
Improving Image Editing Models with Generative Data Refinement. Tiny Papers @ ICLR 2024 - Simon Böhi, Shkurta Gashi:
Large Language Models for Wearable Data Analysis and Interpretation. Tiny Papers @ ICLR 2024 - Yusuf Brima, Ulf Krumnack, Simone Pika, Gunther Heidemann:
Learning Disentangled Audio Representations through Controlled Synthesis. Tiny Papers @ ICLR 2024 - Borui Cai, Zihao Johnson Zheng, Longxiang Gao, Yong Xiang:
Borderline Sample Extraction from a Trained Classifier. Tiny Papers @ ICLR 2024 - Daniele Rege Cambrin, Paolo Garza:
Paraphrase Loss for Abstractive Summarization. Tiny Papers @ ICLR 2024 - Arnav Chavan, Nahush Lele, Deepak K. Gupta:
Rethinking Compression: Reduced order modelling of Latent Features in Large Language Models. Tiny Papers @ ICLR 2024 - Krrish Chawla, Mario DePavia, Aryan Sahai, Brando Miranda:
A Systematic Study of the Role of Data Quality and Alignment for Fine-tuning LLMs for Enhanced Autoformalization. Tiny Papers @ ICLR 2024 - Cheng Chen, Ivor W. Tsang:
Self-Teaching Prompting for Multi-Intent Learning with Limited Supervision. Tiny Papers @ ICLR 2024 - Juhwan Choi, YoungBin Kim:
Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning. Tiny Papers @ ICLR 2024 - Juhwan Choi, YoungBin Kim:
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion. Tiny Papers @ ICLR 2024
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