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09/15/2023
MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response
Large Language Models (LLMs) have shown immense potential in multimodal ...
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09/11/2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
We introduce MAmmoTH, a series of open-source large language models (LLM...
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07/12/2023
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark
Membership inference (MI) attacks threaten user privacy through determin...
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07/11/2023
On the Effectiveness of Speech Self-supervised Learning for Music
Self-supervised learning (SSL) has shown promising results in various sp...
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06/29/2023
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic ...
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06/18/2023
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
In the era of extensive intersection between art and Artificial Intellig...
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05/31/2023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Self-supervised learning (SSL) has recently emerged as a promising parad...
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05/31/2023
TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module
Due to Multilingual Neural Machine Translation's (MNMT) capability of ze...
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05/26/2023
Training Socially Aligned Language Models in Simulated Human Society
Social alignment in AI systems aims to ensure that these models behave a...
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05/22/2023
Interactive Natural Language Processing
Interactive Natural Language Processing (iNLP) has emerged as a novel pa...
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05/07/2023
RSC-VAE: Recoding Semantic Consistency Based VAE for One-Class Novelty Detection
In recent years, there is an increasing interests in reconstruction base...
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04/17/2023
Chinese Open Instruction Generalist: A Preliminary Release
Instruction tuning is widely recognized as a key technique for building ...
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01/14/2023
A Comprehensive Survey of Graph-level Learning
Graphs have a superior ability to represent relational data, like chemic...
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01/01/2023
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
As natural language processing (NLP) for gender bias becomes a significa...
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01/01/2023
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
We present Second Thought, a new learning paradigm that enables language...
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12/05/2022
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning
The deep learning community has witnessed an exponentially growing inter...
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11/05/2022
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models
Fairness has become a trending topic in natural language processing (NLP...
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11/04/2022
1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data
This paper details our participation in the Challenges and Applications ...
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10/31/2022
1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector
In this paper, we present our approach and empirical observations for Ca...
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07/05/2022
Correlation between entropy and generalizability in a neural network
Although neural networks can solve very complex machine-learning problem...
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06/08/2022
1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task
This paper describes our system for the SemEval2022 task of matching dic...
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05/31/2022
Graph-level Neural Networks: Current Progress and Future Directions
Graph-structured data consisting of objects (i.e., nodes) and relationsh...
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11/21/2021
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Despite its great success, deep learning severely suffers from robustnes...
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10/19/2021
Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
Spectral unmixing (SU) expresses the mixed pixels existed in hyperspectr...
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05/17/2021
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects
We present StrobeNet, a method for category-level 3D reconstruction of a...
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02/07/2021
Tilting the playing field: Dynamical loss functions for machine learning
We show that learning can be improved by using loss functions that evolv...
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12/07/2020
Diverse Melody Generation from Chinese Lyrics via Mutual Information Maximization
In this paper, we propose to adapt the method of mutual information maxi...
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08/28/2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Large scale analysis of source code, and in particular scientific source...
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06/17/2020
Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues
In self-supervised monocular depth estimation, the depth discontinuity a...
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12/31/2019
Delineation of the flow and mixing induced by Rayleigh-Taylor instability through tracers
Rayleigh-Taylor-instability(RTI) induced flow and mixing are of great im...
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04/04/2019
Towards 3D Human Shape Recovery Under Clothing
We present a learning-based scheme for robustly and accurately estimatin...
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03/04/2018
