Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese
EACL 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
NeurIPS 2024
The Bias Amplification Paradox in Text-to-Image Generation
NAACL 2024
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
ACL 2024
The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal
EMNLP 2024
THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
RSS 2024
The Constant in HATE: Toxicity in Reddit across Topics and Languages
COLING 2024
The Crime of Being Poor: Associations between Crime and Poverty on Social Media in Eight Countries
NAACL 2024
The CyberEquity Lab at FIGNEWS 2024 Shared Task: Annotating a Corpus of Facebook Posts to Label Bias and Propaganda in Gaza-Israel War Coverage in Five Languages
ACL 2024
The Data Addition Dilemma
MLHC 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
ICLR 2024
The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation
COLING 2024
The Effectiveness of Random Forgetting for Robust Generalization
ICLR 2024
The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation
NAACL 2024
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
ICLR 2024
The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks
ICML 2024
The Entropy Enigma: Success and Failure of Entropy Minimization
ICML 2024
The Eternal Tussle: Exploring the Role of Centralization in IPFS
NSDI 2024
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
EMNLP 2024
The Fairness Fair: Bringing Human Perception into Collective Decision-Making
AAAI 2024
The Fairness-Quality Tradeoff in Clustering
NeurIPS 2024
The False Promise of Imitating Proprietary Language Models
ICLR 2024
The FIGNEWS Shared Task on News Media Narratives
ACL 2024
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
NeurIPS 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
NeurIPS 2024