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)
Intrinsic Self-Supervision for Data Quality Audits
NeurIPS 2024
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
ECCV 2024
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data
EMNLP 2024
In value-based deep reinforcement learning, a pruned network is a good network
ICML 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks
AISTATS 2024
Invariant Risk Minimization Is A Total Variation Model
ICML 2024
Inverse Weight-Balancing for Deep Long-Tailed Learning
AAAI 2024
Investigating Ableism in LLMs through Multi-turn Conversation
EMNLP 2024
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’
NAACL 2024
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
EMNLP 2024
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
ACL 2024
Investigating Data Contamination in Modern Benchmarks for Large Language Models
NAACL 2024
Investigating Gender Bias in STEM Job Advertisements
ACL 2024
Investigating Mysteries of CoT-Augmented Distillation
EMNLP 2024
Investigating Political Ideologies through the Greek ParlaMint corpus
COLING 2024
Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models
ACL 2024
Investigating the Potential of Task Arithmetic for Cross-Lingual Transfer
EACL 2024
Investigating the productivity of Passamaquoddy medials: A computational approach
EACL 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
EMNLP 2024
Investigating Web Corpus Filtering Methods for Language Model Development in Japanese
NAACL 2024
Investigation of Layer-Wise Speech Representations in Self-Supervised Learning Models: A Cross-Lingual Study in Detecting Depression
Interspeech 2024
Invisible Image Watermarks Are Provably Removable Using Generative AI
NeurIPS 2024
In vivo learning-based control of microbial populations density in bioreactors
L4DC 2024
IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
NeurIPS 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data
AAAI 2024