Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Loss Functions
1162 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 3
2007: 4
2008: 3
2009: 5
2010: 7
2011: 11
2012: 11
2013: 8
2014: 15
2015: 18
2016: 16
2017: 30
2018: 57
2019: 124
2020: 120
2021: 165
2022: 140
2023: 174
2024: 111
2025: 106
2026: 32
Papers
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
ICCV 2023
Local and Global Logit Adjustments for Long-Tailed Learning
ICCV 2023
Ontology-aware Learning and Evaluation for Audio Tagging
INTERSPEECH 2023
Embeddings at BLP-2023 Task 2: Optimizing Fine-Tuned Transformers with Cost-Sensitive Learning for Multiclass Sentiment Analysis
EMNLP 2023
UL & UM6P at ArAIEval Shared Task: Transformer-based model for Persuasion Techniques and Disinformation detection in Arabic
EMNLP 2023
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning
EMNLP 2023
UniFace: Unified Cross-Entropy Loss for Deep Face Recognition
ICCV 2023
Mitigating Framing Bias with Polarity Minimization Loss
EMNLP 2023
Don’t waste a single annotation: improving single-label classifiers through soft labels
EMNLP 2023
Knowledge Intensive Learning of Cutset Networks
UAI 2023
TCE: A Test-Based Approach to Measuring Calibration Error
UAI 2023
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
IJCAI 2023
Ada$^2$NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning
ACML 2023
Implicit Training of Inference Network Models for Structured Prediction
UAI 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization
ICCV 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
ICCV 2023
Robust Image Classification via Using Multiple Diversity Losses
ACML 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration
ICML 2023
Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty
AISTATS 2023
Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors
EMNLP 2023
On the inconsistency of separable losses for structured prediction
EACL 2023
Faithful Heteroscedastic Regression with Neural Networks
AISTATS 2023
Domain Generalization via Rationale Invariance
ICCV 2023
A step towards understanding why classification helps regression
ICCV 2023
Powerset multi-class cross entropy loss for neural speaker diarization
INTERSPEECH 2023
<
1
…
10
11
12
…
47
>